SlideShare uma empresa Scribd logo
1 de 15
Baixar para ler offline
ARTICLE IN PRESS




                                       Int. J. Production Economics 87 (2004) 333–347




      A framework for supply chain performance measurement
                       A. Gunasekarana,*, C. Patelb, Ronald E. McGaugheyc
a
    Department of Business Administration, University of Illinois at Springfield, One University Plaza, Springfield, IL 62703-5407, USA
                              b
                                Ace InfoTech, Inc., 406 Wellington Drive, Streamwood, IL 60107, USA
        c
          Department of Management Information Systems, The University of Central Arkansas, Conway, AR 72035-0001, USA



Abstract

   Supply chain management (SCM) has been a major component of competitive strategy to enhance organizational
productivity and profitability. The literature on SCM that deals with strategies and technologies for effectively
managing a supply chain is quite vast. In recent years, organizational performance measurement and metrics have
received much attention from researchers and practitioners. The role of these measures and metrics in the success of an
organization cannot be overstated because they affect strategic, tactical and operational planning and control.
Performance measurement and metrics have an important role to play in setting objectives, evaluating performance,
and determining future courses of actions. Performance measurement and metrics pertaining to SCM have not received
adequate attention from researchers or practitioners. We developed a framework to promote a better understanding of
the importance of SCM performance measurement and metrics. Using the current literature and the results of an
empirical study of selected British companies, we developed the framework presented herein, in hopes that it would
stimulate more interest in this important area.
r 2003 Elsevier B.V. All rights reserved.

Keywords: Supply chain; Performance measurements; Metrics; Empirical analysis; Framework




1. Introduction                                                        in many industries, especially those in manufactur-
                                                                       ing, are trying to better manage supply chains.
   By the late 1980s, outsourcing in US industries                     Important techniques/methodologies like just-in-
contributed to nearly 60% of the total product                         time (JIT), total quality management, lean pro-
cost (Ballou, 1992). In the UK, a survey showed                        duction, computer generated enterprise resource
that 40% of the UK’s gross domestic product was                        planning schedule (ERP) and Kaizen have been
spent on distribution and logistics related activities                 embraced. The concept of supply chain manage-
(Department of Trade and Industry, UK, 1990).                          ment (SCM), according to Thomas and Griffin
Such findings and developments present significant                       (1996) represents the most advanced state in the
visible impact of distribution, purchasing, and                        evolutionary development of purchasing, procure-
supply management on company assets. Managers                          ment and other supply chain activities. At the
                                                                       operational level, this brings together functions
                                                                       that are as old as commerce itself—seeking goods,
  *Corresponding author. Tel.: +1-217-206-7927; fax: +1-217-
206-7543.
                                                                       buying them, storing them and distributing them.
   E-mail address: Gunasekaran.angappa@uis.edu                         At the strategic level, SCM is a relatively new and
(A. Gunasekaran).                                                      rapidly expanding discipline that is transforming

0925-5273/$ - see front matter r 2003 Elsevier B.V. All rights reserved.
doi:10.1016/j.ijpe.2003.08.003
ARTICLE IN PRESS

334                      A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347


the way that manufacturing and non-manufactur-                 European market, and the guidelines of GATT
ing operations meet the needs of their customers.              and WTO have provided the stimulus for devel-
   Development of cross-functional teams aligns                opment of and existing trends in SCM. Supply
organisations with process oriented structure,                 chain integration is needed to manage and control
which is much needed to realise a smooth flow of                the flow in operating systems. Such flow control is
resources in a supply chain. As suggested by Trent             associated with inventory control and activity
and Monczka (1994), such teams promote im-                     system scheduling across the whole range of
proved supply chain effectiveness. They minimise               resource and time constraints. Supplementing this
or eliminate functional and departmental bound-                flow control, an operating system must try to meet
aries and overcome the drawbacks of specialisa-                the broad competitive and strategic objectives of
tion, which according to Fawcett (1995), can                   quality, speed, dependability, flexibility and cost
distribute the knowledge of all value adding                   (Slack et al., 1995; Gunasekaran et al., 2001; De
activities such that no one, including upper level             Toni and Tonchia, 2001). Control is also essential
managers, has complete control over the process.               as both customer needs and supply chain perfor-
Such teams helped in the formation of modern                   mance might change with time.
supply chains by promoting greater integra-                       To meet objectives, the output of the processes
tion of organisations with their suppliers and                 enabled by the supply chain must be measured and
customers.                                                     compared with a set of standards. In order to be
   Supplier partnerships and strategic alliances               controlled, the process parameter values need to be
refer to the co-operative and more exclusive                   kept within a set limit and remain relatively
relationships between organisations and their up-              constant. This will allow comparison of planned
stream suppliers and downstream customers. To-                 and actual parameter values, and once done, the
day many firms have taken bold steps to break                   parameter values can be influenced through
down both inter and intra firm barriers to form                 certain reactive measures in order to improve the
alliances, with the objective of reducing uncer-               performance or re-align the monitored value to
tainty and enhancing control of supply and                     the defined value. For example, an analysis of the
distribution channels. Such alliances are usually              layout of facilities could reveal the cause of long
created to increase the financial and operational               distribution time, high transportation and move-
performance of each channel member through                     ment costs and inventory accumulation. Using
reductions in total cost and inventories and                   suitable approaches like re-engineering facilities,
increased sharing of information (Maloni and                   problems can be tackled and close monitoring and
Benton, 1997). Rather than concerning themselves               subsequent improvements can be possible from
only with price, manufacturers are looking to                  analysis of the new design. Thus, control of
suppliers to work co-operatively in providing                  processes in a supply chain is crucial in improving
improved service, technological innovation and                 performance and can be achieved, at least in part,
product design. This development has produced a                through measurement. Well-defined and con-
significant impact by expanding the scope of SCM                trolled processes are essential to better SCM.
through greater integration of suppliers with                     There are number of conceptual frameworks
organisations.                                                 and discussions on supply chain performance
   The growth and development of SCM is not                    measurements in the literature; however, there is
driven only by internal motives, but by a number               a lack of empirical analysis and case studies on
of external factors such as increasing globalisation,          performance metrics and measurements in a
reduced barriers to international trade, improve-              supply chain environment. We will discuss the
ments in information availability, and environ-                background for the research, review the selected
mental concerns. Furthermore, computer gene-                   literature on supply chain performance metrics
rated production schedules, increasing importance              and measurements, develop a framework based on
of controlling inventory, government regulations               the literature and an empirical analysis, and
and actions such as the creation of a single                   finally, summarize the findings and conclusions.
ARTICLE IN PRESS

                         A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347                  335


2. Background for research                                     tion (Schroeder et al., 1986). Performance studies
                                                               and models should be created so that organisa-
   In this section, the literature is used in describ-         tional goals and achievement of those goals can be
ing the general context within which measurement               measured, thus allowing the effectiveness of the
of supply chain performance is undertaken. The                 strategy or techniques employed to be accessed.
works of various authors are used in establishing                 Most companies realise the importance of
the need for supply chain performance measurement              financial and non-financial performance measures,
and to describe in general terms how it should be              however they have failed to represent them in a
addressed—emphasis is on measurement systems                   balanced framework. According to Kaplan and
and approaches as opposed to specific measures.                 Norton (1992), while some companies and re-
   The strategic, operational and tactical levels are          searchers have concentrated on financial perfor-
the hierarchies in function, wherein policies and              mance measures, others have concentrated on
trade-offs can be distinguished and suitable con-              operational measures. Such an inequality does
trol exerted (Ballou, 1992). According to Rushton              not lead to metrics that can present a clear picture
and Oxley (1989), such a hierarchy is based on the             of organisational performance. For a balanced
time horizon for activities and the pertinence of              approach, Maskell (1991) suggests that companies
decisions to and influence of different levels of               should understand that, while financial perfor-
management. The strategic level measures influ-                 mance measurements are important for strategic
ence the top level management decisions, very                  decisions and external reporting, day to day
often reflecting investigation of broad based                   control of manufacturing and distribution opera-
policies, corporate financial plans, competitiveness            tions is often handled better with non-financial
and level of adherence to organisational goals. The            measures. Another area where inequality persists is
tactical level deals with resource allocation and              deciding upon the number of metrics to be used.
measuring performance against targets to be met                Quite often companies have a large number of
in order to achieve results specified at the strategic          performance measures to which they continue to
level. Measurement of performance at this level                add based on suggestions from employees and
provides valuable feedback on mid-level manage-                consultants. They fail to realise that performance
ment decisions. Operational level measurements                 assessment can be better addressed using a trivial
and metrics require accurate data and assess the               few—they are not really trivial, but instead are
results of decisions of low level managers. Super-             those few areas most critical to success.
visors and workers are to set operational objec-                  The metrics that are used in performance
tives that, if met, will lead to the achievement of            measurement and improvement should be those
tactical objectives.                                           that truly capture the essence of organizational
   Many firms look to continuous improvement as                 performance. A measurement system should facil-
a tool to enhance their core competitiveness using             itate the assignment of metrics to where they
SCM. Many companies have not succeeded in                      would be most appropriate. For effective perfor-
maximizing their supply chain’s potential because              mance measurement and improvement, measure-
they have often failed to develop the performance              ment goals must represent organisational goals
measures and metrics needed to fully integrate                 and metrics selected should reflect a balance
their supply chain to maximize effectiveness and               between financial and non-financial measures that
efficiency. Lee and Billington (1992) observed that             can be related to strategic, tactical and operational
the discrete sites in a supply chain do not maximize           levels of decision making and control.
efficiency if each pursues goals independently.
They point to incomplete performance measures
existing among industries for assessment of the                3. Performance measurements and metrics in SCM
entire supply chain. Measurements should be
understandable by all supply chain members and                  In this section, the literature on performance
should offer minimum opportunity for manipula-                 measurements and metrics in SCM is reviewed.
ARTICLE IN PRESS

336                      A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347


The metrics and measures are discussed in the                     Strategic level measures include lead time
context of the following supply chain activities/              against industry norm, Quality level, Cost
processes: (1) plan, (2) source, (3) make/assem-               saving initiatives, and supplier pricing against
ble, and (4) delivery/customer (Stewart, 1995;                 market.
Gunasekaran et al., 2001).                                        Tactical level measures include the efficiency of
                                                               purchase order cycle time, booking in procedures,
3.1. Metrics for order planning                                cash flow, quality assurance methodology and
                                                               capacity flexibility.
3.1.1. The order entry method                                     Operational level measures include ability in day
   This method determines the way and extent to                to day technical representation, adherence to
which customer specifications are converted into                developed schedule, ability to avoid complaints
information exchanged along the supply chain.                  and achievement of defect free deliveries.
                                                                  Purchasing and supply management must ana-
3.1.2. Order lead-time                                         lyze on a periodic basis their supplier abilities to
  The total order cycle time, called order to                  meet the firm’s long-term needs. The areas that
delivery cycle time, refers to the time elapsed in             need particular attention include the supplier’s
between the receipt of customer order until the                general growth plans, future design capability in
delivery of finished goods to the customer. The                 relevant areas, role of purchasing and supply
reduction in order cycle time leads to reduction in            management in the supplier’s strategic planning,
supply chain response time, and as such is an                  potential for future production capacity and
important performance measure and source of                    financial ability to support such growth (Fisher,
competitive advantage (Christopher, 1992)—it                   1997). Supply chain partnership is a collaborative
directly interacts with customer service in deter-             relationship between a buyer and seller which
mining competitiveness.                                        recognises some degree of interdependence and co-
                                                               operation on a specific project or for a specific
3.1.3. The customer order path                                 purchase agreement (Ellram, 1991; van Hoek,
   The path that an order traverses is another                 2001). Such a partnership emphasises direct,
important measure whereby the time spent in                    long-term association, encouraging mutual plan-
different channels can be determined. By analyzing             ning and problem solving efforts (Maloni and
the customer order path, non-value adding activ-               Benton, 1997). Supplier partnerships have at-
ities can be identified so that suitable steps can be           tracted the attention of practitioners and research-
taken to eliminate them.                                       ers (Macbeth and Ferguson, 1994; Ellram, 1991;
                                                               Graham et al., 1994). All have contended that
3.2. Evaluation of supply link                                 partnership formation is vital in supply chain
                                                               operations and as such for efficient and effective
   Traditionally supplier performance measures                 sourcing. Partnership maintenance is no less
were based on price variation, rejects on receipt              important. Performance evaluation of buyers or
and on time delivery. For many years, the selection            suppliers is simply not enough—relationships must
of suppliers and product choice were mainly based              be evaluated.
on price competition with less attention afforded                 The parameters that need to be considered in the
to other criteria like quality, reliability, etc. More         evaluation of partnerships are the ones that
recently, the whole approach to evaluating suppli-             promote and strengthen them. For example, the
ers has undergone drastic change.                              level of assistance in mutual problem solving is
   Evaluation of suppliers: The evaluation of                  indicative of the strength of supplier partnerships.
suppliers in the context of the supply chain                   Partnership evaluation based on such criteria will
(efficiency, flow, integration, responsiveness and               result in win–win partnerships leading to more
customer satisfaction) involves measures impor-                efficient and more thoroughly integrated supply
tant at the strategic, operational and tactical level.         chains.
ARTICLE IN PRESS

                         A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347                  337


3.3. Measures and metrics at production level                  3.4. Evaluation of delivery link

   After the order is planned and goods sourced,                  The link in a supply chain that directly impacts
the next step in to make/assemble products. This is            customers is delivery. It is a primary determi-
the activity carried out by organisations that own             nant of customer satisfaction; hence, measuring
production sites, and their performance has a                  and improving delivery is always desirable to
major impact on product cost, quality, speed of                increase competitiveness. Delivery by its very
delivery and delivery reliability, and flexibility              nature takes place in a dynamic and ever-changing
(Mapes et al., 1997; Slack et al., 1995). As it is             environment, making the study and subsequent
quite an important part of the supply chain,                   improvement of a distribution system difficult. It
production needs to be measured and continu-                   should be noted that it is not an easy matter to
ously improved. Suitable metrics for the produc-               anticipate how changes to one of the major
tion level are as follows:                                     elements within a distribution structure will
                                                               affect the system as a whole (Rushton and Oxley,
Range of product and services: According to Mapes              1989).
et al. (1997), a plant that manufactures a broad
product range is likely to introduce new products              3.4.1. Measures for delivery performance
more slowly than plants with a narrow product                  evaluation
range. Plants that can manufacture a wide range of                According to Stewart (1995), an increase in
products are likely to perform less well in the areas          delivery performance is possible through a reduc-
of value added per employee, speed and delivery                tion in leadtime attributes. Another important
reliability. This clearly suggests that product range          aspect of delivery performance is on-time delivery.
affects supply chain performance.                              On-time delivery reflects whether perfect delivery
                                                               has taken place or otherwise and is also a measure
                                                               of customer service level. A similar concept, on
Capacity utilization: From the above assertion, it is          time order fill, was used by Christopher (1992),
clear that the role-played by capacity in determin-            describing it as a combination of delivery relia-
ing the level of activities in a supply chain is quite         bility and order completeness. Another aspect of
important. According to Slack et al. (1995), of the            delivery is the percentage of finished goods in
many aspects of production performance, capacity               transit, which if high signifies low inventory
utilization directly affects the speed of response to          turns, leading to unnecessary increases in tied up
customer demand through its impact on flexibility,              capital. Various factors that can influence deli-
leadtime and deliverability.                                   very speed include vehicle speed, driver reli-
                                                               ability, frequency of delivery, and location of
Effectiveness of scheduling techniques: Scheduling             depots. An increase in efficiency in these areas can
refers to the time or date on or by which activities           lead to a decrease in the inventory levels (Novich,
are to be undertaken. Such fixing determines the                1990).
manner in which resources will flow in an                          Number of faultless notes invoiced: An invoice
operating system, the effectiveness of which has               shows the delivery date, time and condition
an important impact on production and thus                     under which goods were received. By comparing
supply chain performance. For example, schedul-                these with the previously made agreement, it
ing techniques such as JIT, MRP and ERP have                   can be determined whether perfect delivery has
implications on purchasing, throughput time and                taken place or not, and areas of discrepancy
batch size. In case of the supply chain, since                 can be identified so that improvements can be
scheduling depends heavily on customer demands                 made.
and supplier performance, the scheduling tools                    Flexibility of delivery systems to meet particular
should be viewed in that context (Little et al.,               customer needs: This refers to flexibility in meeting
1995).                                                         a particular customer delivery requirement at an
ARTICLE IN PRESS

338                      A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347


agreed place, agreed mode of delivery and with                 small quantities of wider range (e.g. JIT lot size)—
agreed upon customised packaging. This type of                 and (iv) number of Inventory turns.
flexibility can influence the decision of customers
to place orders, and thus can be regarded as                   3.5.2. Customer query time
important in enchanting and retaining customers                  Customer query time relates to the time it
(Novich, 1990).                                                takes for a firm to respond to a customer query
                                                               with the required information. It is not unusual
3.4.2. Total distribution cost                                 for a customer to enquire about the status
   Perhaps the most important research concerning              of order, potential problems on stock avail-
logistics is going on in the area of design of                 ability, or delivery. A fast and accurate response
efficient and cost effective distribution systems.              to those requests is essential in keeping customers
For this, an understanding of total distribution               satisfied.
cost is essential, so that proper trade-offs can be
applied as a basis for planning and reassessment of            3.5.3. Post transaction measures of customer
distribution systems. The urgency of dealing with              service
transportation cost was highlighted by Thomas                     The function of a supply chain does not end
and Griffin (1996), who argued that since trans-                when goods are provided to the customer. Post
portation cost accounts for more than half of the              transaction activities play an important role in
total logistics cost, more active research is needed           customer service and provide valuable feedback
in the area. To deal with distribution costs,                  that can be used to further improve supply chain
measuring individual cost elements together with               performance.
their impact on customer service encourages trade-
offs that lead to a more effective and efficient                3.6. Supply chain and logistics cost
distribution system.
                                                                  The efficiency of a supply chain can be
                                                               assessed using the total logistics cost—a financial
3.5. Measuring customer service and satisfaction               measure. It is necessary to assess the financial
                                                               impact of broad level strategies and practices
   To a world class organisation, a happy and                  that contribute to the flow of products in a
satisfied customer is of the utmost importance. In              supply chain. Since logistics cut across func-
a modern supply chain customers can reside next                tional boundaries, care must be taken to assess
door or across the globe, and in either case they              the impact of actions to influence costs in one
must be well served. Without a contented custo-                area in terms of their impact on costs associ-
mer, the supply chain strategy cannot be deemed                ated with other areas (Cavinato, 1992). For
effective. Lee and Billington (1992) and van Hoek              example, a change in capacity has a major effect
et al. (2001) emphasised that to assess supply chain           on cost associated with inventory and order
performance, supply chain metrics must centre on               processing.
customer satisfaction.
                                                               3.6.1. Cost associated with assets and return on
3.5.1. Flexibility                                             investment
  Of the factors by which supply chains compete,                  Supply chain assets include accounts receivable,
flexibility can be rightly regarded as a critical one.          plant, property and equipment, and inventories.
Being flexible means having the capability to                   With increasing inflation and decreased liquidity,
provide products/services that meet the individual             pressure is on firms to improve the productivity of
demands of customers. Some flexibility measures                 capital—to make the assets sweat. In this regard it
include: (i) product development cycle time, (ii)              is essential to determine how the cost associated
machine/tool set up time, (iii) economies of scope             with each asset, combined with its turnover, affects
(Christopher, 1992)—refers to the production of                total cash flow time. One way to address this is by
ARTICLE IN PRESS

                         A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347                 339


expressing it as an average days required to                   4. The research methodology
turn cash invested in assets employed into
cash collected from a customer (Stewart, 1995).                   The framework presented by Gunasekaran et al.
Thus, total cash flow time can be regarded                      (2001) was used in developing a survey used to
as a metric to determine the productivity of                   study performance measures and metrics used in a
assets in a supply chain. Once the total cash                  supply chain environment. A seven-page ques-
flow time is determined, this can be readily                    tionnaire1 was developed for collecting data. The
combined with profit to provide insight into                    questionnaire was divided into four basic sections.
the rate of return on investment (ROI). This                   They are as follows: plan (including strategy),
determines the performance by top management                   source/supply (order), produce (make/assemble),
is terms of earnings on the total capital invested             and delivery (to customer). These four categories
in a business.                                                 correspond to the four basic activities or processes
   With customer service requirements constantly               in a supply chain—plan–source–make/assemble–
increasing, effective management of inventory in               delivery. The questionnaires were mailed with a
the supply chain is crucial (Slack et al., 1995). In a         cover letter and addressed to the CEO of each
supply chain, the total cost associated with                   firm. Targeted recipients were instructed to com-
inventory can be broken down into the following                plete the survey themselves or refer it to an
(Stewart, 1995; Christopher, 1992; Slack et al.,               appropriate person for the same. Participants were
1995; Lee and Billington, 1992; Levy, 1997):                   identified using the ‘Kompass Register’ for UK
Opportunity cost, consisting of warehousing,                   industries (Volumes I and II) published by the
capital and storage; Cost associated with inventory            Reed Business Information Ltd., West Sussex,
at the incoming stock level and work in progress;              UK. A total of 150 large companies were selected
Service costs, consisting of cost associated with              from a wide range of industry settings.
stock management and insurance; Cost of finished
goods including those in transit; Risk costs,
consisting of cost associated with pilferage,                  5. Empirical analysis
deterioration, and damage; Cost associated with
scrap and rework; and Cost associated with too                    Of the 150 questionnaires mailed, 21 were
little inventory accounting for lost sales/lost                completed and returned. A breakdown of the
production.                                                    survey response is shown in Fig. 1. Nearly all the
                                                               responses were received within 4 weeks of mailing.
3.6.2. Information processing cost                             Twelve companies said that because of the larger
   This includes costs such as those associated with           number of such enquiries they were unable to
order entry, order follow/updating, discounts, and             reply. Ten companies returned the questionnaire
invoicing. On the basis of survey results from                 stating that they were not suitable candidates for
various industries, Stewart (1995) identified in-               the survey because of changes in their operations.
formation processing cost as the largest contribu-             The response rate was only 14%, but we felt that it
tor to total logistics cost. The role of information           was adequate to assist us in developing our
technology is shifting from a general passive                  framework.
management enabler through databases, to a
highly advanced process controller that can                    5.1. Planning performance evaluation metrics
monitor activities and decide upon an appropriate
route for information. Modern information tech-                   This section deals with financial and non-
nology, through its power to provide timely,                   financial strategic level performance measures.
accurate, and reliable information, has led to a               The importance of these parameters was estab-
greater integration of modern supply chains than               lished by calculating the mean of all responses and
possible by any other means (Naim, 1997;
                                                                 1
Benjamin and Wigand, 1995).                                          Available upon request from authors
ARTICLE IN PRESS

340                            A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347

                 Responded with                   Said were not      Table 1
                 completed questionnaire                             Ratings strategic planning metrics
                                           14%    able to reply

                                                   8%                Assessment              Strategic performance    Percentage
                                                                                             metrics                  importance

                                                                     Highly important        Level of customer        16.42
                                                                                             perceived value of
                                                      7%
                                                                                             product
                                                 Returned the
  71%                                            questionnaire       Moderately              Variances against        14.23
                                                 without             important               budget
Did not respond to                               completing it                               Order lead time          13.50
the questionnaire                                                                            Information processing   12.68
        Fig. 1. Breakdown of response for the survey.                                        cost
                                                                                             Net profit Vs             12.46
                                                                                             productivity ratio
                                                                                             Total cycle time         11.80
ranking them accordingly. The ranks were con-
                                                                                             Total cash flow time      10.27
verted to relative percentages by dividing each
rank, by the total of all ranks for the group of                     Less important          Level of energy           8.64
measures/metrics. This approach is similar to the                                            utilisation
method used in Pareto analysis wherein problem
frequencies are converted to percentages to show
relative importance. The percentages better high-                    to validate the framework should employ a better
light differences in the importance of performance                   sample and more rigorous statistical techniques.
measures in each group (we used this approach in                     The first set of measures (five non-financial and
analysing performance measures in all groups                         three financial) pertain to planning, but more
discussed herein). We further categorized the                        specifically to strategic planning. Table 1 shows
measures based on importance (highly important,                      the measures and their relative importance as
moderately important and less important). The                        determined by our analysis of the survey data.
methodology employed for such was similar to the                        The importance rating survey results show that
methodology used in ABC inventory (inventory                         the level of customer perceived value of product is
item’s annual cost is stated as a percent of total                   of the utmost importance. It was deemed highly
inventory costs) to prioritize inventory manage-                     important which clearly reflects the perception of
ment decisions (item cost percentages sorted in                      practitioners that customer satisfaction is para-
descending order and grouped into A—most                             mount in importance in increasing competitive-
important, B—moderate importance, and C—less                         ness. The measures considered moderately
important based on their contribution to total                       important in descending order include variances
costs). We used this approach in analysing                           against budget, order lead-time, information-
performance measures in all groups discussed                         processing cost, net profit vs. productivity ratio,
herein. Please note that categorizing a measure as                   total cycle time and total cash flow time. Variances
less important does not mean it is unimportant,                      against budget, information-processing cost and
but rather it seems less important compared to                       net profit vs. productivity are of course financial
others in the measurement group. We believe a                        measures and reflect the importance of financial
similar approach could be used by managers in                        measures in strategic planning and control—
setting priorities in the development of a measure-                  financial stability is essential to organizational
ment system for supply chain performance. Our                        success. The other three moderately important
small sample size precluded the use of more                          measures were order lead time, total cycle time and
powerful statistical techniques. We believe our                      total cash flow time. Their rating further highlights
approach is adequate for our use of the data in                      the importance of non-financial measures in
framework development. A more rigorous study                         strategic planning and control and to subsequent
ARTICLE IN PRESS

                            A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347                  341


Table 2                                                           warrant monitoring by management and improve-
Importance of order planning metrics                              ment effort. Cross-functional teams, rapid proto-
Assessment            Metrics                   Percentage        typing, and concurrent engineering involving
                                                importance        suppliers would seem appropriate in efforts to
                                                                  improve product development cycle time. Many
Highly important      Customer query time       19.11
                                                                  alternative techniques are available for forecasting.
Moderately            Product development       17.37             If forecasting accuracy is a concern, firms might
important             cycle time                                  examine the techniques employed with an eye
                                                                  toward improvement. Because the forecasts of all
Less important        Accuracy of forecasting   16.59
                                                                  supply chain links can influence supply chain
                      Planning process cycle    15.90
                      time                                        performance, a concerted effort by all should be
                      Order entry methods       15.51             made to assure accurate forecasts. This is empha-
                      Human resource            15.51             sized by a survey participant (a machine tool
                      productivity                                manufacturer) who said that supply chain partners
                                                                  should ‘‘Use better forecasting techniques to remove
                                                                  uncertainties in supply chain.’’ Many under-
organizational success. The only strategic planning               stand the consequences of weak forecasting
measure deemed less important was level of energy                 performance and recognize the need to measure
utilisation which may suggest that it is not of                   and improve it.
strategic significance. That, of course, could vary                   By benchmarking their forecasting methods
from firm to firm, depending on energy cost as a                    with those of the best, a better understanding the
percent of total manufacturing cost and on energy                 techniques might be gained and greater accuracy
price levels relative to the prices of other manu-                achieved. Also, by integrating production sche-
facturing inputs.                                                 dules with others in the supply chain, more
   The percentage importance (relative impor-                     accurate day to day demand forecast might be
tance) of the strategic performance metrics clearly               possible for all links in the supply chain. Planning
suggests that non-financial measures of perfor-                    process cycle time, order entry methods, and
mance are considered by practitioners to be                       human resource productivity were the less im-
important in assessing the competitiveness of an                  portant order planning measures. Planning process
organization. This is not to say that financial                    cycle time and order entry methods could be
measures are no longer important, but rather that                 improved through reengineering efforts that in-
non-financial measures are important and neces-                    clude multiple links in the supply chain, because
sary in assessing a firm’s ability to compete.                     the actions of multiple participants interact to
   In Table 2, the order of priority for the order                influence performance in these areas. Improve-
planning level metrics is presented. At the order                 ments in customer query time, product develop-
planning level, customer query time was highly                    ment cycle time and planning process cycle time
important, which would seem to emphasize the                      might be brought about by greater human
importance of customer service. Product develop-                  resource productivity, so although it was rated
ment cycle time and forecasting were moderately                   last in importance, human resource productivity
important. These two factors relate to meeting                    should not be dismissed as unimportant. Improve-
customer needs and doing so in a timely fashion.                  ment in order entry methods, customer query time,
Although there is no statistical evidence contained               forecasting accuracy and customer query time
herein to prove such a link, common sense                         might be brought about through the application of
suggests a link between these and the perceived                   information technology to increase accuracy and
customer value of the product, rated number one                   expedite the flow of information throughout the
among the strategy performance measures. The                      supply chain. Process cycle time can be tackled by
importance ratings of product development cycle                   using techniques like single minute exchange of die
time and forecasting measures suggests that they                  and group technology, whereby similar facilities
ARTICLE IN PRESS

342                     A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347


for production will be grouped to reduce manu-                Table 3
facturing lead-time.                                          Importance of supplier metrics

                                                              Assessment             Metrics                    Percentage
5.2. Supply link evaluation metrics                                                                             importance

                                                              Highly important       Supplier delivery          23.20
   Due to the growing importance outsourcing,                                        performance
whereby firms outsource a major part of their
products, evaluation of supply link performance is            Moderately             Supplier lead-time         19.69
very important in managing the supply chain for               important              against industry norm
                                                                                     Supplier pricing against   18.30
peak efficiency and effectiveness. In this section,
                                                                                     market
the importance of performance measures/metrics                                       Efficiency of purchase      15.42
in a supply chain link (includes purchasing and                                      order cycle time
supplier management activities) are rated in
importance. Based on the literature, six key                  Less important         Efficiency of cash-flow      12.38
                                                                                     method
performance indicators (KPI) pertaining to the
                                                                                     Supplier booking in        11.01
supplier link were included in the survey and                                        procedures
ranked by participants. These measures include:
supplier delivery performance, lead-time against
industry norm, supplier pricing against market,               schedules and terms of the order as well as prompt
efficiency of purchase order cycle time, efficiency             delivery of goods have become order winners.
of cashflow method, and supply booking proce-                  Firms would do well to not just use supplier
dures. The main objective here is to identify the             metrics for selection of suppliers, but rather they
KPI in supply link performance evaluation. The                should work closely with suppliers to see that they
KPI can be defined as the performance indicators               have in place within their organizations, measure-
that have significant impact on the overall                    ment systems that will foster significant improve-
performance of an organization in the areas of                ment in all of these areas. Such improvement
strategic, tactical and operational planning and              contributes to the overall success of a supply
control. The percentage importance ratings of the             chain.
six measures are included in Table 3.
   As can be seen in Table 3, supplier delivery               5.3. Production performance evaluation metrics
performance emerged as the most important
measure pertaining to the evaluation of supplier                 In this section, supply chain production link
performance. It was the only highly important                 metrics/measures are rated in importance. The
measure. One can see from the table that it is                literature provided the production link measures,
clearly set apart from the others by its percentage           and as with other metrics evaluated in this paper,
importance rating. The moderately important                   the survey responses provided the basis for rating
measures in descending order are supplier lead-               the importance of these measures. The perfor-
time against industry norm, supplier pricing                  mance measures for the production link included
against market and efficiency of purchase order                percentage of defects (a measure of product
cycle time. The less important supplier measures              quality), cost per operation-hour, capacity utiliza-
were efficiency of cash flow method and supplier                tion, range of product and services, and utilization
booking in procedures. Most notable about the                 of economic order quantity. Table 4 contains the
supplier metrics is that firms regard the supplier’s           measures and their percentage importance ratings.
capability to reliably deliver goods in a timely              From the table one can see that the percentage of
fashion as more important than price. Price has               defects emerged to be the most important
increasing become an order qualifier rather than               (24.27%), but two others, cost per operation hour
an order winner. Other aspects of supplier                    and capacity utilization, were also highly impor-
performance such as adherence to agreed upon                  tant. The latter two are essentially measures of the
ARTICLE IN PRESS

                             A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347                           343


Table 4                                                            5.4. Delivery performance evaluation metrics
Importance of production metrics

Assessment         Metrics                     Percentage             After the orders are planned and goods sourced,
                                               importance          produced and assembled, the remaining task is to
                                                                   deliver them to customer. Table 5 shows the order
Highly important   Percentage of defects       24.27
                   Cost per operation hour     22.51               of importance of delivery performance measures.
                   Capacity utilization        21.61               Quality of delivered goods is first in importance,
                                                                   followed by on time delivery of goods and
Moderately         Range of products and       18.01               flexibility of service systems to meet customer
important          services
                                                                   needs. These three measures are highly important.
Less important     Utilization of economic     13.60               Note that there is very little difference in the rating
                   order quantity                                  of quality of delivered goods and on time deliver of
                                                                   goods. Here again, we believe that these three are
                                                                   related to the perceived customer value of the
                                                                   product, the top ranking strategic planning mea-
efficiency with which resources are used in                         sure. Providing the customer with a quality
manufacturing (produce/assemble), and good per-                    product in a timely fashion, and maintaining
formance in these two areas translates into lower                  customer satisfaction with a service system de-
cost per unit to manufacture products/provide                      signed to flexibly respond to customer needs are
services. Efficiency of operations is important for                 key in producing value for the customer.
all supply chain partners, if the elusive goal of                  The effectiveness of the enterprise distribution
supply chain optimization is to be achieved. Note
that the percentage importance of each of these
three clearly sets them apart from the moderately                  Table 5
important and less important measures. We should                   Importance of delivery performance measures
caution that maximum efficiency of each partner                     Assessment             Delivery performance        Percentage
in all areas might not be a desirable because                                             metrics                     rating
tradeoffs are necessary in order to achieve a global               Highly important       Quality of delivered        12.34
optimum for the supply chain—local optimums in                                            goods
all parts do not necessarily lead to global                                               On time delivery of         12.20
optimization for a system.                                                                goods
   The only measure rated moderately important                                            Flexibility of service      11.43
                                                                                          systems to meet
was range of products and services. As noted in the                                       customer needs
literature, a broader range of products tends to
result in fewer new products being introduced and                  Moderately             Effectiveness of            10.31
a more narrow range is associated with greater                     important              enterprise distribution
product innovation. For this reason, the measure                                          planning schedule
                                                                                          Effectiveness of delivery   10.23
does seem worthy of the attention of managers,                                            invoice methods
especially in making decisions about the breadth                                          Number of faultless         10.05
and depth of product lines. The least important                                           delivery notes invoiced
measure in the production link measures was                                               Percentage of urgent         9.32
utilization of economic order quantity. It was the                                        deliveries
                                                                                          Information richness in      8.76
only measure rated less important. It may be that                                         carrying out delivery
the participants, in assigning their ratings, re-
garded the use of EOQ as a means to an end rather                  Less important         Percentage of finished        7.76
than an end in and of itself. In short, quality and                                       goods in transit
efficiency seem to be more important considera-                                            Delivery reliability         7.70
                                                                                          performance
tions in evaluating production performance.
ARTICLE IN PRESS

344                      A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347


planning schedule, effectiveness of delivery invoice           mid-level managers who are generally the ones
methods, number of faultless delivery notes                    responsible for tactical decisions.
invoiced, percentage of urgent deliveries and                     The items in each cell are listed in the order of
information richness in carrying out the delivery              importance based on percentage importance rat-
are moderately important. According to the rating              ings. Those ratings can be seen in Tables 1–5.
of measures, while unquestionably important,                   Readers can refer to those tables in order to more
these measures are not as important as the quality             closely examine the importance ratings of indivi-
of the delivered product and on time delivery. It              dual measures/metrics. Some measures appear in
would seem, at least on the surface that on time               more than one cell, indicating that measures may
delivery would result from an effective enter-                 be appropriate at more than one management
prise distribution planning schedule, so it                    level. Measures used at different management
would probably be unwise to ignore the obvious                 levels will most assuredly require adjustment to
importance of the enterprise distribution plan-                tailor them to planning and control needs of the
ning schedule—one is the means and the other                   different levels. For example, appropriate mea-
the end.                                                       surement may require that data used by the lower
   In the survey, companies were asked to express              level of management be aggregated in some form
their views on reducing the cost of a delivery                 or fashion to make the data appropriate for the
system. Their responses tended to emphasize                    next higher level (convert data into information
techniques like JIT and the application of auto-               appropriate for the context). There is nothing
mation alternatives to reduce costs. Trade-offs                novel about this approach, as it has been used
between centralisation of the distribution system              for years in management planning and control
and decentralisation of the system were mentioned              systems.
as was third party logistics.                                     The approach we used in organizing the
                                                               measures for the framework could be used by
                                                               organizations in development of a performance
6. A framework for performance measurement in                  measurement program for SCM. Managers and/or
a supply chain                                                 consultants could identify measurements (we
                                                               recommended many such measurements herein),
   In this section, a framework for performance                rate their importance using the methodology we
measures and metrics is presented (see Table 6),               used for rating importance, and construct a matrix
considering the four major supply chain activities/            like our own to identify the supply chain activity/
processes (plan, source, make/assemble, and de-                process to be measured, the measurement, and
liver). These metrics were classified at strategic,             level of management to which the measure should
tactical and operational to clarify the appropriate            be applied. More detail could be added to fix
level of management authority and responsibility               personal responsibility for measures with indivi-
for performance. This framework is based in part               dual managers, or management positions.
of a theoretical framework discussed by Gunase-                   Readers should keep in mind that this frame-
karan et al. (2001) and on the empirical analysis              work is based largely on metrics discussed in the
reported herein. Measures are grouped in cells at              literature. Individual firms will certainly have
the intersection of the supply chain activity and              performance measurement needs that reflect the
planning level. For example, Supplier delivery                 unique operations of their business and of course
performance can be found at the intersection of                not all supply chains are identical. Thus other
the Source activity and Tactical planning level                measures may be desirable and should be devel-
indicating that it pertains to sourcing activities             oped by firms and supply chain participants to
(source) and the tactical planning level. Supplier             reflect their unique needs. This framework should
delivery performance would thus be a measure                   be regarded as a starting point for an assessment
useful in analyzing the performance of mid-level               of the need for supply chain performance mea-
managers as they undertake sourcing activities—                surement. It is likewise important to understand
ARTICLE IN PRESS

                            A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347                             345


Table 6
Supply chain performance metrics framework

Supply        Strategic                               Tactical                                Operational
chain
activity/
process

Plan          Level of customer perceived value of    Customer query time, Product            Order entry methods, Human
              product, Variances against budget,      development cycle time, Accuracy of     resource productivity
              Order lead time, Information            forecasting techniques, Planning
              processing cost, Net profit Vs           process cycle time, Order entry
              productivity ratio, Total cycle time,   methods, Human resource
              Total cash flow time, Product            productivity
              development cycle time

Source                                                Supplier delivery performance,          Efficiency of purchase order cycle
                                                      supplier leadtime against industry      time, Supplier pricing against
                                                      norm, supplier pricing against          market
                                                      market, Efficiency of purchase order
                                                      cycle time, Efficiency of cash flow
                                                      method, Supplier booking in
                                                      procedures

Make/         Range of products and services          Percentage of defects, Cost per         Percentage of Defects, Cost per
Assemble                                              operation hour, Capacity utilization,   operation hour, Human resource
                                                      Utilization of economic order           productivity index
                                                      quantity

Deliver       Flexibility of service system to meet   Flexibility of service system to meet   Quality of delivered goods, On time
              customer needs, Effectiveness of        customer needs, Effectiveness of        delivery of goods, Effectiveness of
              enterprise distribution planning        enterprise distribution planning        delivery invoice methods, Number
              schedule                                schedule, Effectiveness of delivery     of faultless delivery notes invoiced,
                                                      invoice methods, Percentage of          Percentage of urgent deliveries,
                                                      finished goods in transit, Delivery      Information richness in carrying out
                                                      reliability performance                 delivery, Delivery reliability
                                                                                              performance




that the rated importance of metrics in this                       expected levels after implementing contemporary
framework is based on a relatively small sample,                   supply chain management (SCM) practices. The
and thus, care should be taken in generalizing                     76% affirmative response to that question clearly
results to all supply chains. The importance of                    showed that effort focused on carefully managing
individual metrics presented herein might not                      supply chains produced financial benefits for
apply to all supply chains in all industries. Again,               participating firms. From a financial perspective
the framework is only a starting point. It is hoped                alone, a proactive approach to SCM is advisable
that this framework will assist practitioners in                   for firms wanting to enhance competitiveness.
their efforts to assess supply chain performance.                  The SCM literature suggests that effective SCM
                                                                   help to win customers and improve customer
                                                                   service. Some 66% of the respondents in our
7. Conclusions                                                     survey noted the positive impact of SCM on
                                                                   market share, providing more evidence of the
  In our survey participants were asked whether                    strategic importance of successful SCM. The
their return on investment had increased to                        potential benefits of SCM make it attractive, but
ARTICLE IN PRESS

346                      A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347


improved performance is not automatic. As with                 come together to discuss how they will address
any other organisational undertaking, it must be               the measurement and improvement of SCM
done well to yield positive results. This is why we            performance. Industry consortiums, consultants,
believe it is important to assess performance in               and researchers could be helpful in promoting
SCM and the reason we developed the SCM                        SCM performance measurement generally, and in
performance measurement framework.                             developing measures and measurement techniques
   To bring about improved performance in a                    specifically. They could play a significant role in
supply chain and move closer to attainment of the              helping firms address the present and future
illusive goal of supply chain optimization, perfor-            challenges of managing supply chains. Clearly
mance measurement and improvement studies                      tremendous opportunity exists to develop mea-
must be done throughout the supply chain. All                  sures that facilitate progress and promote greater
participants in the supply chain should be involved            supply chain integration.
and committed to common goals, such as custo-
mer satisfaction throughout the supply chain and
enhanced competitiveness. A performance mea-                   Acknowledgements
surement program for a supply chain should be
complete—important aspects of performance in                      The authors gratefully acknowledge the con-
any link are not ignored—and they must be                      structive and helpful comments of two anonymous
tailored to varying needs of participants. A good              referees on the earlier version of the manuscript.
SCM program will bring about improved cross-
functional and intra-organisational process plan-
ning and control and more complete supply chain                References
integration. A supply chain wide performance
measurement initiative would seem most appro-                  Ballou, R.H., 1992. Business Logistics Management. Prentice-
priate. This is not to suggest that one party dictate              Hall, Inc., Englewood Cliffs, NJ.
                                                               Benjamin, R., Wigand, R., 1995. Electronic markets and virtual
measurement programs for all supply chain                          value chains on the information superhighway. Sloan
participants, but rather that all participants take                Management Review 36 (2), 62–72.
part in developing a well planned, well coordi-                Cavinato, J.L., 1992. Total cost value model for supply chain
nated, supply chain-wide performance measure-                      competitiveness. Journal of Business Logistics 13
ment initiative to which all can and will be                       (2), 285–291.
                                                               Christopher, M., 1992. Logistics and Supply Chain Manage-
committed. A comprehensive control system will                     ment. Pitman Publishing, London.
be necessary in order to assure effective and                  De Toni, A., Tonchia, S., 2001. Performance measurement
efficient performance measurement all along the                     systems: Models, characteristics and measures. Interna-
supply chain, but it must not be done in such a                    tional Journal of Operations & Production Management 21
                                                                   (1/2), 46–70.
way as to unduly limit the decision making
                                                               Ellram, L.M., 1991. A managerial guide for the development
authority of managers in participating organiza-                   and implementation of purchasing partnerships. Interna-
tions. Care must be exercised in developing such a                 tional Journal of Purchasing and Materials Management 27
system in order that it promotes mutually advan-                   (3), 2–8.
tageous exchange among participants, so that                   Fawcett, S.E., 1995. Using strategic assessment to increase the
relationships endure the test of time.                             value-added capabilities of manufacturing and logistics.
                                                                   Production and Inventory Management Journal 36 (2),
   Additional research and practitioner-driven in-                 33–37.
itiatives are needed in the area of SCM perfor-                Fisher, L.M., 1997. What is the right supply chain for your
mance measurement. Creative efforts are needed                     product? Harvard Business Review 75 (2), 105–116.
to design new measures and new programs for                    Graham, T.S., Dougherty, P.J., Dudley, W.N., 1994. The long
assessing the performance of the supply chain as a                 term strategic impact of purchasing partnerships. Interna-
                                                                   tional Journal of Purchasing and Materials Management 30
whole as well as the performance of each                           (4), 13–18.
organization that is a part of the supply chain.               Gunasekaran, A., Patel, C., Tirtiroglu, E., 2001. Performance
Organisation, suppliers and customers should                       measure and metrics in a supply chain environment.
ARTICLE IN PRESS

                             A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347                           347


    International Journal of Operations & Production Manage-       Novich, N., 1990. Distribution strategy: Are you thinking small
    ment 21 (1/2), 71–87.                                             enough? Sloan Management Review 32 (1), 71–77.
Kaplan, R.S., Norton, P.D., 1992. The balanced scoreboard-         Rushton, A., Oxley, J., 1989. Handbook of Logistics and
    measures that drives performance. Harvard Business                Distribution Management. Kogan Page Ltd., London.
    Review 70 (1), 71–79.                                          Schroeder, R.G., John, C.A, Scudder, G.D., 1986. White collar
Lee, H.L., Billington, C., 1992. Managing supply chain                productivity measurement. Management Decision 24 (5),
    inventory: Pitfalls and opportunities. Sloan Management           3–7.
    Review 33 (3), 65–73.                                          Slack, N., Chambers, S., Harland, C., Harrison, A., Johnston,
Levy, D.L., 1997. Lean production in an international supply          R., 1995. Operations Management. Pitman Publishing,
    chain. Sloan Management Review 38 (2), 94–102.                    London.
Little, D., Kenworthy, J., Jarvis, P., Porter, K., 1995.           Stewart, G., 1995. Supply chain performance benchmarking
    Scheduling across the supply chain. Logistics Information         study reveals keys to supply chain excellence. Logistics
    Management 8 (1), 42–48.                                          Information Management 8 (2), 38–44.
MacBeth, D.K., Ferguson, N., 1994. Partnership Sourcing: An        Thomas, D.J., Griffin, P.M., 1996. Co-ordinated supply chain
    Integrated Supply Chain Management Approach. Pitman               management. European Journal of Operational Research 94
    Publishing, London.                                               (3), 1–15.
Maloni, M.J., Benton, W.C., 1997. Supply chain partnerships:       Trent, R.J., Monczka, R.M., 1994. Effective cross-functional
    Opportunities for operations research. European Journal of        sourcing teams: Critical success factors. International
    Operational Research 101, 419–429.                                Journal of Purchasing and Materials Management 30 (4),
Mapes, J., New, C., Szwejczewski, M., 1997. Perfor-                   3–11.
    mance trade-offs in manufacturing plants. International        van Hoek, R.I., 2001. The contribution of performance
    Journal of Operations & Production Management 17 (10),            measurement to the expansion of third party logistics
    1020–1033.                                                        alliances in the supply chain. International Journal of
Maskell, B.H., 1991. Performance Measurement for World                Operations & Production Management 21 (1/2), 15–29.
    Class Manufacturing. Productivity Press, Inc., Portland,       van Hoek, R.I., Harrison, A., Christopher, M., 2001. Measur-
    OR.                                                               ing agile capabilities in the supply chain. International
Naim, M.M., 1997. The Book That Changed the World.                    Journal of Operations & Production Management 21 (1/2),
    Manufacturing Engineer (February), 13–16.                         126–147.

Mais conteúdo relacionado

Mais procurados

Operations Strategy-A Literature Review
Operations Strategy-A Literature ReviewOperations Strategy-A Literature Review
Operations Strategy-A Literature ReviewMatthew Morris
 
13 Measuring Sc Performance
13 Measuring Sc Performance13 Measuring Sc Performance
13 Measuring Sc Performancepirama2000
 
SUPPLY CHAIN PERFORMANCE MEASUREMENT
SUPPLY CHAIN PERFORMANCE MEASUREMENTSUPPLY CHAIN PERFORMANCE MEASUREMENT
SUPPLY CHAIN PERFORMANCE MEASUREMENTAshish Hande
 
Emerging concept in information system
Emerging concept in information systemEmerging concept in information system
Emerging concept in information systemmeenakshi24
 
Sales and Operations Planning: Integrate with Finance and Improve Revenues
Sales and Operations Planning: Integrate with Finance and Improve RevenuesSales and Operations Planning: Integrate with Finance and Improve Revenues
Sales and Operations Planning: Integrate with Finance and Improve RevenuesMarcio Thome
 
Supply chain Strategy Design
Supply chain Strategy DesignSupply chain Strategy Design
Supply chain Strategy DesignLOGITEX Co.
 
4 logistics performance(LOGISTICS MANAGEMENT)
4 logistics performance(LOGISTICS MANAGEMENT)4 logistics performance(LOGISTICS MANAGEMENT)
4 logistics performance(LOGISTICS MANAGEMENT)Suzana Vaidya
 
Total quality management
Total quality managementTotal quality management
Total quality managementKenJi Diancin
 
Managing for Quality and Performance Excellence 8th Edition Evans Solutions M...
Managing for Quality and Performance Excellence 8th Edition Evans Solutions M...Managing for Quality and Performance Excellence 8th Edition Evans Solutions M...
Managing for Quality and Performance Excellence 8th Edition Evans Solutions M...Teaganer
 
Chapter no .07 performance measurement and controls in scm
Chapter no .07 performance measurement and controls in scmChapter no .07 performance measurement and controls in scm
Chapter no .07 performance measurement and controls in scmIsrar Khan Raja
 
kurt salmon white paper consumer driven product development
kurt salmon white paper consumer driven product developmentkurt salmon white paper consumer driven product development
kurt salmon white paper consumer driven product developmentKurt Salmon
 
Managing Demand in Supply Chain: The Business Process Modeling Approach
Managing Demand in Supply Chain: The Business Process Modeling ApproachManaging Demand in Supply Chain: The Business Process Modeling Approach
Managing Demand in Supply Chain: The Business Process Modeling ApproachSotiris Gayialis
 
H336783
H336783H336783
H336783aijbm
 
OPERATIONS STRATEGY
OPERATIONS STRATEGY OPERATIONS STRATEGY
OPERATIONS STRATEGY 889222
 
Strategic Cost Management – A Profitability Tool, Bp, Fla, November 20, 2010
Strategic Cost Management – A Profitability Tool, Bp, Fla, November 20, 2010Strategic Cost Management – A Profitability Tool, Bp, Fla, November 20, 2010
Strategic Cost Management – A Profitability Tool, Bp, Fla, November 20, 2010Barrett Peterson
 

Mais procurados (20)

Operations Strategy-A Literature Review
Operations Strategy-A Literature ReviewOperations Strategy-A Literature Review
Operations Strategy-A Literature Review
 
Final Ppt
Final PptFinal Ppt
Final Ppt
 
13 Measuring Sc Performance
13 Measuring Sc Performance13 Measuring Sc Performance
13 Measuring Sc Performance
 
SUPPLY CHAIN PERFORMANCE MEASUREMENT
SUPPLY CHAIN PERFORMANCE MEASUREMENTSUPPLY CHAIN PERFORMANCE MEASUREMENT
SUPPLY CHAIN PERFORMANCE MEASUREMENT
 
Emerging concept in information system
Emerging concept in information systemEmerging concept in information system
Emerging concept in information system
 
1. mba 201 production and operation management assignment 2nd semester
1. mba 201 production and operation management assignment 2nd semester1. mba 201 production and operation management assignment 2nd semester
1. mba 201 production and operation management assignment 2nd semester
 
Sales and Operations Planning: Integrate with Finance and Improve Revenues
Sales and Operations Planning: Integrate with Finance and Improve RevenuesSales and Operations Planning: Integrate with Finance and Improve Revenues
Sales and Operations Planning: Integrate with Finance and Improve Revenues
 
Supply chain Strategy Design
Supply chain Strategy DesignSupply chain Strategy Design
Supply chain Strategy Design
 
4 logistics performance(LOGISTICS MANAGEMENT)
4 logistics performance(LOGISTICS MANAGEMENT)4 logistics performance(LOGISTICS MANAGEMENT)
4 logistics performance(LOGISTICS MANAGEMENT)
 
Total quality management
Total quality managementTotal quality management
Total quality management
 
Managing for Quality and Performance Excellence 8th Edition Evans Solutions M...
Managing for Quality and Performance Excellence 8th Edition Evans Solutions M...Managing for Quality and Performance Excellence 8th Edition Evans Solutions M...
Managing for Quality and Performance Excellence 8th Edition Evans Solutions M...
 
Strategic Cost Management
Strategic Cost ManagementStrategic Cost Management
Strategic Cost Management
 
Chapter no .07 performance measurement and controls in scm
Chapter no .07 performance measurement and controls in scmChapter no .07 performance measurement and controls in scm
Chapter no .07 performance measurement and controls in scm
 
Hoe k
Hoe kHoe k
Hoe k
 
kurt salmon white paper consumer driven product development
kurt salmon white paper consumer driven product developmentkurt salmon white paper consumer driven product development
kurt salmon white paper consumer driven product development
 
Managing Demand in Supply Chain: The Business Process Modeling Approach
Managing Demand in Supply Chain: The Business Process Modeling ApproachManaging Demand in Supply Chain: The Business Process Modeling Approach
Managing Demand in Supply Chain: The Business Process Modeling Approach
 
H336783
H336783H336783
H336783
 
Scor
ScorScor
Scor
 
OPERATIONS STRATEGY
OPERATIONS STRATEGY OPERATIONS STRATEGY
OPERATIONS STRATEGY
 
Strategic Cost Management – A Profitability Tool, Bp, Fla, November 20, 2010
Strategic Cost Management – A Profitability Tool, Bp, Fla, November 20, 2010Strategic Cost Management – A Profitability Tool, Bp, Fla, November 20, 2010
Strategic Cost Management – A Profitability Tool, Bp, Fla, November 20, 2010
 

Destaque

Supply Chain Performance Measure
Supply Chain Performance MeasureSupply Chain Performance Measure
Supply Chain Performance MeasureRama Renspandy
 
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance ...
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance ...Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance ...
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance ...Milan Zdravković
 
Green Supply Chain Management
Green Supply Chain ManagementGreen Supply Chain Management
Green Supply Chain Managementsatishmudiganti
 
Supply chain performance measurement trends
Supply chain performance measurement trendsSupply chain performance measurement trends
Supply chain performance measurement trendsTristan Wiggill
 
Sustainability: Supply Chain Risk Management
Sustainability: Supply Chain Risk ManagementSustainability: Supply Chain Risk Management
Sustainability: Supply Chain Risk ManagementMatt Zaleski
 
Lean supply chain management une étude dans l'industrie chimique
Lean supply chain management  une étude dans l'industrie chimiqueLean supply chain management  une étude dans l'industrie chimique
Lean supply chain management une étude dans l'industrie chimiqueErdem Dursun
 
3 supply chain management-a analytical framework for critical literature review
3 supply chain management-a analytical framework for critical literature review3 supply chain management-a analytical framework for critical literature review
3 supply chain management-a analytical framework for critical literature reviewjmhdeve
 
A conceptual framework to evaluate the impact of innovation platforms on agri...
A conceptual framework to evaluate the impact of innovation platforms on agri...A conceptual framework to evaluate the impact of innovation platforms on agri...
A conceptual framework to evaluate the impact of innovation platforms on agri...ILRI
 
Beyond Operation Excellence - Christian Houborg, Lundbeck - Shingo journey
Beyond Operation Excellence - Christian Houborg, Lundbeck - Shingo journeyBeyond Operation Excellence - Christian Houborg, Lundbeck - Shingo journey
Beyond Operation Excellence - Christian Houborg, Lundbeck - Shingo journeyInvest Northern Ireland
 
Shingo Prize Business Guidelines
Shingo Prize Business GuidelinesShingo Prize Business Guidelines
Shingo Prize Business GuidelinesHansBarten
 
Supply Chain Insights Global Summit 2013 - Supply Chain Financial Benchmarkin...
Supply Chain Insights Global Summit 2013 - Supply Chain Financial Benchmarkin...Supply Chain Insights Global Summit 2013 - Supply Chain Financial Benchmarkin...
Supply Chain Insights Global Summit 2013 - Supply Chain Financial Benchmarkin...Lora Cecere
 
Operational Excellence Series
Operational Excellence SeriesOperational Excellence Series
Operational Excellence SeriesErdem Dursun
 
Operational Excellence Series III Continues Improvement Deployement
Operational Excellence Series III Continues Improvement Deployement Operational Excellence Series III Continues Improvement Deployement
Operational Excellence Series III Continues Improvement Deployement Erdem Dursun
 
Operational Excellence Series IV : LEAN
Operational Excellence Series IV : LEANOperational Excellence Series IV : LEAN
Operational Excellence Series IV : LEANErdem Dursun
 
Operational Excellence Series Corporate Culture
Operational Excellence Series Corporate CultureOperational Excellence Series Corporate Culture
Operational Excellence Series Corporate CultureErdem Dursun
 
A STRATEGIC FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENT
A STRATEGIC FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENTA STRATEGIC FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENT
A STRATEGIC FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENTGaurav Dutta
 

Destaque (20)

Supply Chain Performance Measure
Supply Chain Performance MeasureSupply Chain Performance Measure
Supply Chain Performance Measure
 
Supply Chain Performance
Supply Chain PerformanceSupply Chain Performance
Supply Chain Performance
 
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance ...
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance ...Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance ...
Milan Zdravkovic, Miroslav Trajanovic, Ontological Framework for performance ...
 
Green Supply Chain Management
Green Supply Chain ManagementGreen Supply Chain Management
Green Supply Chain Management
 
Supply chain performance measurement trends
Supply chain performance measurement trendsSupply chain performance measurement trends
Supply chain performance measurement trends
 
Sustainability: Supply Chain Risk Management
Sustainability: Supply Chain Risk ManagementSustainability: Supply Chain Risk Management
Sustainability: Supply Chain Risk Management
 
Lean supply chain management une étude dans l'industrie chimique
Lean supply chain management  une étude dans l'industrie chimiqueLean supply chain management  une étude dans l'industrie chimique
Lean supply chain management une étude dans l'industrie chimique
 
3 supply chain management-a analytical framework for critical literature review
3 supply chain management-a analytical framework for critical literature review3 supply chain management-a analytical framework for critical literature review
3 supply chain management-a analytical framework for critical literature review
 
A conceptual framework to evaluate the impact of innovation platforms on agri...
A conceptual framework to evaluate the impact of innovation platforms on agri...A conceptual framework to evaluate the impact of innovation platforms on agri...
A conceptual framework to evaluate the impact of innovation platforms on agri...
 
Beyond Operation Excellence - Christian Houborg, Lundbeck - Shingo journey
Beyond Operation Excellence - Christian Houborg, Lundbeck - Shingo journeyBeyond Operation Excellence - Christian Houborg, Lundbeck - Shingo journey
Beyond Operation Excellence - Christian Houborg, Lundbeck - Shingo journey
 
Shingo Prize Business Guidelines
Shingo Prize Business GuidelinesShingo Prize Business Guidelines
Shingo Prize Business Guidelines
 
2011_NE_Shingo_Prize_Conference
2011_NE_Shingo_Prize_Conference2011_NE_Shingo_Prize_Conference
2011_NE_Shingo_Prize_Conference
 
Supply Chain Insights Global Summit 2013 - Supply Chain Financial Benchmarkin...
Supply Chain Insights Global Summit 2013 - Supply Chain Financial Benchmarkin...Supply Chain Insights Global Summit 2013 - Supply Chain Financial Benchmarkin...
Supply Chain Insights Global Summit 2013 - Supply Chain Financial Benchmarkin...
 
Operational Excellence Series
Operational Excellence SeriesOperational Excellence Series
Operational Excellence Series
 
Operational Excellence Series III Continues Improvement Deployement
Operational Excellence Series III Continues Improvement Deployement Operational Excellence Series III Continues Improvement Deployement
Operational Excellence Series III Continues Improvement Deployement
 
Operational Excellence Series IV : LEAN
Operational Excellence Series IV : LEANOperational Excellence Series IV : LEAN
Operational Excellence Series IV : LEAN
 
Cie 42
Cie 42Cie 42
Cie 42
 
Supply chain
Supply chainSupply chain
Supply chain
 
Operational Excellence Series Corporate Culture
Operational Excellence Series Corporate CultureOperational Excellence Series Corporate Culture
Operational Excellence Series Corporate Culture
 
A STRATEGIC FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENT
A STRATEGIC FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENTA STRATEGIC FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENT
A STRATEGIC FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENT
 

Semelhante a Scm performance measurement_frame_work_2007_ijpe

1 s2.0-s0925527303002561-main
1 s2.0-s0925527303002561-main1 s2.0-s0925527303002561-main
1 s2.0-s0925527303002561-mainLevi Guimarães
 
Determinantsof Strategic Supply Chain Management in Enhancing Organization Pe...
Determinantsof Strategic Supply Chain Management in Enhancing Organization Pe...Determinantsof Strategic Supply Chain Management in Enhancing Organization Pe...
Determinantsof Strategic Supply Chain Management in Enhancing Organization Pe...paperpublications3
 
Determinants of Strategic Supply Chain Management in Enhancing Organization P...
Determinants of Strategic Supply Chain Management in Enhancing Organization P...Determinants of Strategic Supply Chain Management in Enhancing Organization P...
Determinants of Strategic Supply Chain Management in Enhancing Organization P...paperpublications3
 
JOSCM - Journal of Operations and Supply Chain Management - n. 02 | Jul/Dec 2015
JOSCM - Journal of Operations and Supply Chain Management - n. 02 | Jul/Dec 2015JOSCM - Journal of Operations and Supply Chain Management - n. 02 | Jul/Dec 2015
JOSCM - Journal of Operations and Supply Chain Management - n. 02 | Jul/Dec 2015FGV | Fundação Getulio Vargas
 
5.an integrated
5.an integrated5.an integrated
5.an integratedlibfsb
 
Effect of TQM Practices on Financial Performance through Innovation Performan...
Effect of TQM Practices on Financial Performance through Innovation Performan...Effect of TQM Practices on Financial Performance through Innovation Performan...
Effect of TQM Practices on Financial Performance through Innovation Performan...IRJET Journal
 
Running head SUPPLY CHAIN MANAGEMENT SUPPLY CHAIN MANAGEMENT .docx
Running head SUPPLY CHAIN MANAGEMENT SUPPLY CHAIN MANAGEMENT .docxRunning head SUPPLY CHAIN MANAGEMENT SUPPLY CHAIN MANAGEMENT .docx
Running head SUPPLY CHAIN MANAGEMENT SUPPLY CHAIN MANAGEMENT .docxtodd521
 
Determinants of Supply Chain Performance of Indian Manufacturing Organizations
Determinants of Supply Chain Performance of Indian Manufacturing OrganizationsDeterminants of Supply Chain Performance of Indian Manufacturing Organizations
Determinants of Supply Chain Performance of Indian Manufacturing OrganizationsWaqas Tariq
 
ROLE OF SUPPLIER MANAGEMENT PRACTICES IN OPTIMIZATION OF OPERATIONAL PERFORM...
 ROLE OF SUPPLIER MANAGEMENT PRACTICES IN OPTIMIZATION OF OPERATIONAL PERFORM... ROLE OF SUPPLIER MANAGEMENT PRACTICES IN OPTIMIZATION OF OPERATIONAL PERFORM...
ROLE OF SUPPLIER MANAGEMENT PRACTICES IN OPTIMIZATION OF OPERATIONAL PERFORM...muo charles
 
A structural approach to integrating total quality management and knowledge m...
A structural approach to integrating total quality management and knowledge m...A structural approach to integrating total quality management and knowledge m...
A structural approach to integrating total quality management and knowledge m...cooingnucleus8444
 
Collaborative performance
Collaborative performanceCollaborative performance
Collaborative performanceNeeraj Jaiswal
 
6.supply chain 2
6.supply chain 26.supply chain 2
6.supply chain 2libfsb
 
An Empirical Review On Supply Chain Integration
An Empirical Review On Supply Chain IntegrationAn Empirical Review On Supply Chain Integration
An Empirical Review On Supply Chain IntegrationStephen Faucher
 
The Influence of Supply Chain Integration on the Intrapreneurship in Supply C...
The Influence of Supply Chain Integration on the Intrapreneurship in Supply C...The Influence of Supply Chain Integration on the Intrapreneurship in Supply C...
The Influence of Supply Chain Integration on the Intrapreneurship in Supply C...IJERA Editor
 

Semelhante a Scm performance measurement_frame_work_2007_ijpe (20)

1 s2.0-s0925527303002561-main
1 s2.0-s0925527303002561-main1 s2.0-s0925527303002561-main
1 s2.0-s0925527303002561-main
 
Determinantsof Strategic Supply Chain Management in Enhancing Organization Pe...
Determinantsof Strategic Supply Chain Management in Enhancing Organization Pe...Determinantsof Strategic Supply Chain Management in Enhancing Organization Pe...
Determinantsof Strategic Supply Chain Management in Enhancing Organization Pe...
 
Determinants of Strategic Supply Chain Management in Enhancing Organization P...
Determinants of Strategic Supply Chain Management in Enhancing Organization P...Determinants of Strategic Supply Chain Management in Enhancing Organization P...
Determinants of Strategic Supply Chain Management in Enhancing Organization P...
 
amaratunga2003.pdf
amaratunga2003.pdfamaratunga2003.pdf
amaratunga2003.pdf
 
JOSCM - Journal of Operations and Supply Chain Management - n. 02 | Jul/Dec 2015
JOSCM - Journal of Operations and Supply Chain Management - n. 02 | Jul/Dec 2015JOSCM - Journal of Operations and Supply Chain Management - n. 02 | Jul/Dec 2015
JOSCM - Journal of Operations and Supply Chain Management - n. 02 | Jul/Dec 2015
 
5.an integrated
5.an integrated5.an integrated
5.an integrated
 
Effect of TQM Practices on Financial Performance through Innovation Performan...
Effect of TQM Practices on Financial Performance through Innovation Performan...Effect of TQM Practices on Financial Performance through Innovation Performan...
Effect of TQM Practices on Financial Performance through Innovation Performan...
 
Running head SUPPLY CHAIN MANAGEMENT SUPPLY CHAIN MANAGEMENT .docx
Running head SUPPLY CHAIN MANAGEMENT SUPPLY CHAIN MANAGEMENT .docxRunning head SUPPLY CHAIN MANAGEMENT SUPPLY CHAIN MANAGEMENT .docx
Running head SUPPLY CHAIN MANAGEMENT SUPPLY CHAIN MANAGEMENT .docx
 
Determinants of Supply Chain Performance of Indian Manufacturing Organizations
Determinants of Supply Chain Performance of Indian Manufacturing OrganizationsDeterminants of Supply Chain Performance of Indian Manufacturing Organizations
Determinants of Supply Chain Performance of Indian Manufacturing Organizations
 
ROLE OF SUPPLIER MANAGEMENT PRACTICES IN OPTIMIZATION OF OPERATIONAL PERFORM...
 ROLE OF SUPPLIER MANAGEMENT PRACTICES IN OPTIMIZATION OF OPERATIONAL PERFORM... ROLE OF SUPPLIER MANAGEMENT PRACTICES IN OPTIMIZATION OF OPERATIONAL PERFORM...
ROLE OF SUPPLIER MANAGEMENT PRACTICES IN OPTIMIZATION OF OPERATIONAL PERFORM...
 
A structural approach to integrating total quality management and knowledge m...
A structural approach to integrating total quality management and knowledge m...A structural approach to integrating total quality management and knowledge m...
A structural approach to integrating total quality management and knowledge m...
 
Ijm 06 09_008
Ijm 06 09_008Ijm 06 09_008
Ijm 06 09_008
 
Ijm 06 09_008
Ijm 06 09_008Ijm 06 09_008
Ijm 06 09_008
 
Ijm 06 09_008
Ijm 06 09_008Ijm 06 09_008
Ijm 06 09_008
 
A04950123
A04950123A04950123
A04950123
 
Collaborative performance
Collaborative performanceCollaborative performance
Collaborative performance
 
6.supply chain 2
6.supply chain 26.supply chain 2
6.supply chain 2
 
An Empirical Review On Supply Chain Integration
An Empirical Review On Supply Chain IntegrationAn Empirical Review On Supply Chain Integration
An Empirical Review On Supply Chain Integration
 
The Influence of Supply Chain Integration on the Intrapreneurship in Supply C...
The Influence of Supply Chain Integration on the Intrapreneurship in Supply C...The Influence of Supply Chain Integration on the Intrapreneurship in Supply C...
The Influence of Supply Chain Integration on the Intrapreneurship in Supply C...
 
Precise services and supply chain prioritization in manufacturing companies u...
Precise services and supply chain prioritization in manufacturing companies u...Precise services and supply chain prioritization in manufacturing companies u...
Precise services and supply chain prioritization in manufacturing companies u...
 

Último

Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Kirill Klimov
 
8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCR8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCRashishs7044
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionMintel Group
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis UsageNeil Kimberley
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCRashishs7044
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...ictsugar
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaoncallgirls2057
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckHajeJanKamps
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesKeppelCorporation
 
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...ShrutiBose4
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Anamaria Contreras
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Servicecallgirls2057
 
Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfJos Voskuil
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailAriel592675
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyotictsugar
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCRashishs7044
 

Último (20)

Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024
 
8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCR8447779800, Low rate Call girls in Rohini Delhi NCR
8447779800, Low rate Call girls in Rohini Delhi NCR
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted Version
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation Slides
 
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
Ms Motilal Padampat Sugar Mills vs. State of Uttar Pradesh & Ors. - A Milesto...
 
Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.Traction part 2 - EOS Model JAX Bridges.
Traction part 2 - EOS Model JAX Bridges.
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
 
Call Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North GoaCall Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North Goa
 
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
 
Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdf
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detail
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyot
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
 
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCREnjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
Enjoy ➥8448380779▻ Call Girls In Sector 18 Noida Escorts Delhi NCR
 

Scm performance measurement_frame_work_2007_ijpe

  • 1. ARTICLE IN PRESS Int. J. Production Economics 87 (2004) 333–347 A framework for supply chain performance measurement A. Gunasekarana,*, C. Patelb, Ronald E. McGaugheyc a Department of Business Administration, University of Illinois at Springfield, One University Plaza, Springfield, IL 62703-5407, USA b Ace InfoTech, Inc., 406 Wellington Drive, Streamwood, IL 60107, USA c Department of Management Information Systems, The University of Central Arkansas, Conway, AR 72035-0001, USA Abstract Supply chain management (SCM) has been a major component of competitive strategy to enhance organizational productivity and profitability. The literature on SCM that deals with strategies and technologies for effectively managing a supply chain is quite vast. In recent years, organizational performance measurement and metrics have received much attention from researchers and practitioners. The role of these measures and metrics in the success of an organization cannot be overstated because they affect strategic, tactical and operational planning and control. Performance measurement and metrics have an important role to play in setting objectives, evaluating performance, and determining future courses of actions. Performance measurement and metrics pertaining to SCM have not received adequate attention from researchers or practitioners. We developed a framework to promote a better understanding of the importance of SCM performance measurement and metrics. Using the current literature and the results of an empirical study of selected British companies, we developed the framework presented herein, in hopes that it would stimulate more interest in this important area. r 2003 Elsevier B.V. All rights reserved. Keywords: Supply chain; Performance measurements; Metrics; Empirical analysis; Framework 1. Introduction in many industries, especially those in manufactur- ing, are trying to better manage supply chains. By the late 1980s, outsourcing in US industries Important techniques/methodologies like just-in- contributed to nearly 60% of the total product time (JIT), total quality management, lean pro- cost (Ballou, 1992). In the UK, a survey showed duction, computer generated enterprise resource that 40% of the UK’s gross domestic product was planning schedule (ERP) and Kaizen have been spent on distribution and logistics related activities embraced. The concept of supply chain manage- (Department of Trade and Industry, UK, 1990). ment (SCM), according to Thomas and Griffin Such findings and developments present significant (1996) represents the most advanced state in the visible impact of distribution, purchasing, and evolutionary development of purchasing, procure- supply management on company assets. Managers ment and other supply chain activities. At the operational level, this brings together functions that are as old as commerce itself—seeking goods, *Corresponding author. Tel.: +1-217-206-7927; fax: +1-217- 206-7543. buying them, storing them and distributing them. E-mail address: Gunasekaran.angappa@uis.edu At the strategic level, SCM is a relatively new and (A. Gunasekaran). rapidly expanding discipline that is transforming 0925-5273/$ - see front matter r 2003 Elsevier B.V. All rights reserved. doi:10.1016/j.ijpe.2003.08.003
  • 2. ARTICLE IN PRESS 334 A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 the way that manufacturing and non-manufactur- European market, and the guidelines of GATT ing operations meet the needs of their customers. and WTO have provided the stimulus for devel- Development of cross-functional teams aligns opment of and existing trends in SCM. Supply organisations with process oriented structure, chain integration is needed to manage and control which is much needed to realise a smooth flow of the flow in operating systems. Such flow control is resources in a supply chain. As suggested by Trent associated with inventory control and activity and Monczka (1994), such teams promote im- system scheduling across the whole range of proved supply chain effectiveness. They minimise resource and time constraints. Supplementing this or eliminate functional and departmental bound- flow control, an operating system must try to meet aries and overcome the drawbacks of specialisa- the broad competitive and strategic objectives of tion, which according to Fawcett (1995), can quality, speed, dependability, flexibility and cost distribute the knowledge of all value adding (Slack et al., 1995; Gunasekaran et al., 2001; De activities such that no one, including upper level Toni and Tonchia, 2001). Control is also essential managers, has complete control over the process. as both customer needs and supply chain perfor- Such teams helped in the formation of modern mance might change with time. supply chains by promoting greater integra- To meet objectives, the output of the processes tion of organisations with their suppliers and enabled by the supply chain must be measured and customers. compared with a set of standards. In order to be Supplier partnerships and strategic alliances controlled, the process parameter values need to be refer to the co-operative and more exclusive kept within a set limit and remain relatively relationships between organisations and their up- constant. This will allow comparison of planned stream suppliers and downstream customers. To- and actual parameter values, and once done, the day many firms have taken bold steps to break parameter values can be influenced through down both inter and intra firm barriers to form certain reactive measures in order to improve the alliances, with the objective of reducing uncer- performance or re-align the monitored value to tainty and enhancing control of supply and the defined value. For example, an analysis of the distribution channels. Such alliances are usually layout of facilities could reveal the cause of long created to increase the financial and operational distribution time, high transportation and move- performance of each channel member through ment costs and inventory accumulation. Using reductions in total cost and inventories and suitable approaches like re-engineering facilities, increased sharing of information (Maloni and problems can be tackled and close monitoring and Benton, 1997). Rather than concerning themselves subsequent improvements can be possible from only with price, manufacturers are looking to analysis of the new design. Thus, control of suppliers to work co-operatively in providing processes in a supply chain is crucial in improving improved service, technological innovation and performance and can be achieved, at least in part, product design. This development has produced a through measurement. Well-defined and con- significant impact by expanding the scope of SCM trolled processes are essential to better SCM. through greater integration of suppliers with There are number of conceptual frameworks organisations. and discussions on supply chain performance The growth and development of SCM is not measurements in the literature; however, there is driven only by internal motives, but by a number a lack of empirical analysis and case studies on of external factors such as increasing globalisation, performance metrics and measurements in a reduced barriers to international trade, improve- supply chain environment. We will discuss the ments in information availability, and environ- background for the research, review the selected mental concerns. Furthermore, computer gene- literature on supply chain performance metrics rated production schedules, increasing importance and measurements, develop a framework based on of controlling inventory, government regulations the literature and an empirical analysis, and and actions such as the creation of a single finally, summarize the findings and conclusions.
  • 3. ARTICLE IN PRESS A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 335 2. Background for research tion (Schroeder et al., 1986). Performance studies and models should be created so that organisa- In this section, the literature is used in describ- tional goals and achievement of those goals can be ing the general context within which measurement measured, thus allowing the effectiveness of the of supply chain performance is undertaken. The strategy or techniques employed to be accessed. works of various authors are used in establishing Most companies realise the importance of the need for supply chain performance measurement financial and non-financial performance measures, and to describe in general terms how it should be however they have failed to represent them in a addressed—emphasis is on measurement systems balanced framework. According to Kaplan and and approaches as opposed to specific measures. Norton (1992), while some companies and re- The strategic, operational and tactical levels are searchers have concentrated on financial perfor- the hierarchies in function, wherein policies and mance measures, others have concentrated on trade-offs can be distinguished and suitable con- operational measures. Such an inequality does trol exerted (Ballou, 1992). According to Rushton not lead to metrics that can present a clear picture and Oxley (1989), such a hierarchy is based on the of organisational performance. For a balanced time horizon for activities and the pertinence of approach, Maskell (1991) suggests that companies decisions to and influence of different levels of should understand that, while financial perfor- management. The strategic level measures influ- mance measurements are important for strategic ence the top level management decisions, very decisions and external reporting, day to day often reflecting investigation of broad based control of manufacturing and distribution opera- policies, corporate financial plans, competitiveness tions is often handled better with non-financial and level of adherence to organisational goals. The measures. Another area where inequality persists is tactical level deals with resource allocation and deciding upon the number of metrics to be used. measuring performance against targets to be met Quite often companies have a large number of in order to achieve results specified at the strategic performance measures to which they continue to level. Measurement of performance at this level add based on suggestions from employees and provides valuable feedback on mid-level manage- consultants. They fail to realise that performance ment decisions. Operational level measurements assessment can be better addressed using a trivial and metrics require accurate data and assess the few—they are not really trivial, but instead are results of decisions of low level managers. Super- those few areas most critical to success. visors and workers are to set operational objec- The metrics that are used in performance tives that, if met, will lead to the achievement of measurement and improvement should be those tactical objectives. that truly capture the essence of organizational Many firms look to continuous improvement as performance. A measurement system should facil- a tool to enhance their core competitiveness using itate the assignment of metrics to where they SCM. Many companies have not succeeded in would be most appropriate. For effective perfor- maximizing their supply chain’s potential because mance measurement and improvement, measure- they have often failed to develop the performance ment goals must represent organisational goals measures and metrics needed to fully integrate and metrics selected should reflect a balance their supply chain to maximize effectiveness and between financial and non-financial measures that efficiency. Lee and Billington (1992) observed that can be related to strategic, tactical and operational the discrete sites in a supply chain do not maximize levels of decision making and control. efficiency if each pursues goals independently. They point to incomplete performance measures existing among industries for assessment of the 3. Performance measurements and metrics in SCM entire supply chain. Measurements should be understandable by all supply chain members and In this section, the literature on performance should offer minimum opportunity for manipula- measurements and metrics in SCM is reviewed.
  • 4. ARTICLE IN PRESS 336 A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 The metrics and measures are discussed in the Strategic level measures include lead time context of the following supply chain activities/ against industry norm, Quality level, Cost processes: (1) plan, (2) source, (3) make/assem- saving initiatives, and supplier pricing against ble, and (4) delivery/customer (Stewart, 1995; market. Gunasekaran et al., 2001). Tactical level measures include the efficiency of purchase order cycle time, booking in procedures, 3.1. Metrics for order planning cash flow, quality assurance methodology and capacity flexibility. 3.1.1. The order entry method Operational level measures include ability in day This method determines the way and extent to to day technical representation, adherence to which customer specifications are converted into developed schedule, ability to avoid complaints information exchanged along the supply chain. and achievement of defect free deliveries. Purchasing and supply management must ana- 3.1.2. Order lead-time lyze on a periodic basis their supplier abilities to The total order cycle time, called order to meet the firm’s long-term needs. The areas that delivery cycle time, refers to the time elapsed in need particular attention include the supplier’s between the receipt of customer order until the general growth plans, future design capability in delivery of finished goods to the customer. The relevant areas, role of purchasing and supply reduction in order cycle time leads to reduction in management in the supplier’s strategic planning, supply chain response time, and as such is an potential for future production capacity and important performance measure and source of financial ability to support such growth (Fisher, competitive advantage (Christopher, 1992)—it 1997). Supply chain partnership is a collaborative directly interacts with customer service in deter- relationship between a buyer and seller which mining competitiveness. recognises some degree of interdependence and co- operation on a specific project or for a specific 3.1.3. The customer order path purchase agreement (Ellram, 1991; van Hoek, The path that an order traverses is another 2001). Such a partnership emphasises direct, important measure whereby the time spent in long-term association, encouraging mutual plan- different channels can be determined. By analyzing ning and problem solving efforts (Maloni and the customer order path, non-value adding activ- Benton, 1997). Supplier partnerships have at- ities can be identified so that suitable steps can be tracted the attention of practitioners and research- taken to eliminate them. ers (Macbeth and Ferguson, 1994; Ellram, 1991; Graham et al., 1994). All have contended that 3.2. Evaluation of supply link partnership formation is vital in supply chain operations and as such for efficient and effective Traditionally supplier performance measures sourcing. Partnership maintenance is no less were based on price variation, rejects on receipt important. Performance evaluation of buyers or and on time delivery. For many years, the selection suppliers is simply not enough—relationships must of suppliers and product choice were mainly based be evaluated. on price competition with less attention afforded The parameters that need to be considered in the to other criteria like quality, reliability, etc. More evaluation of partnerships are the ones that recently, the whole approach to evaluating suppli- promote and strengthen them. For example, the ers has undergone drastic change. level of assistance in mutual problem solving is Evaluation of suppliers: The evaluation of indicative of the strength of supplier partnerships. suppliers in the context of the supply chain Partnership evaluation based on such criteria will (efficiency, flow, integration, responsiveness and result in win–win partnerships leading to more customer satisfaction) involves measures impor- efficient and more thoroughly integrated supply tant at the strategic, operational and tactical level. chains.
  • 5. ARTICLE IN PRESS A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 337 3.3. Measures and metrics at production level 3.4. Evaluation of delivery link After the order is planned and goods sourced, The link in a supply chain that directly impacts the next step in to make/assemble products. This is customers is delivery. It is a primary determi- the activity carried out by organisations that own nant of customer satisfaction; hence, measuring production sites, and their performance has a and improving delivery is always desirable to major impact on product cost, quality, speed of increase competitiveness. Delivery by its very delivery and delivery reliability, and flexibility nature takes place in a dynamic and ever-changing (Mapes et al., 1997; Slack et al., 1995). As it is environment, making the study and subsequent quite an important part of the supply chain, improvement of a distribution system difficult. It production needs to be measured and continu- should be noted that it is not an easy matter to ously improved. Suitable metrics for the produc- anticipate how changes to one of the major tion level are as follows: elements within a distribution structure will affect the system as a whole (Rushton and Oxley, Range of product and services: According to Mapes 1989). et al. (1997), a plant that manufactures a broad product range is likely to introduce new products 3.4.1. Measures for delivery performance more slowly than plants with a narrow product evaluation range. Plants that can manufacture a wide range of According to Stewart (1995), an increase in products are likely to perform less well in the areas delivery performance is possible through a reduc- of value added per employee, speed and delivery tion in leadtime attributes. Another important reliability. This clearly suggests that product range aspect of delivery performance is on-time delivery. affects supply chain performance. On-time delivery reflects whether perfect delivery has taken place or otherwise and is also a measure of customer service level. A similar concept, on Capacity utilization: From the above assertion, it is time order fill, was used by Christopher (1992), clear that the role-played by capacity in determin- describing it as a combination of delivery relia- ing the level of activities in a supply chain is quite bility and order completeness. Another aspect of important. According to Slack et al. (1995), of the delivery is the percentage of finished goods in many aspects of production performance, capacity transit, which if high signifies low inventory utilization directly affects the speed of response to turns, leading to unnecessary increases in tied up customer demand through its impact on flexibility, capital. Various factors that can influence deli- leadtime and deliverability. very speed include vehicle speed, driver reli- ability, frequency of delivery, and location of Effectiveness of scheduling techniques: Scheduling depots. An increase in efficiency in these areas can refers to the time or date on or by which activities lead to a decrease in the inventory levels (Novich, are to be undertaken. Such fixing determines the 1990). manner in which resources will flow in an Number of faultless notes invoiced: An invoice operating system, the effectiveness of which has shows the delivery date, time and condition an important impact on production and thus under which goods were received. By comparing supply chain performance. For example, schedul- these with the previously made agreement, it ing techniques such as JIT, MRP and ERP have can be determined whether perfect delivery has implications on purchasing, throughput time and taken place or not, and areas of discrepancy batch size. In case of the supply chain, since can be identified so that improvements can be scheduling depends heavily on customer demands made. and supplier performance, the scheduling tools Flexibility of delivery systems to meet particular should be viewed in that context (Little et al., customer needs: This refers to flexibility in meeting 1995). a particular customer delivery requirement at an
  • 6. ARTICLE IN PRESS 338 A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 agreed place, agreed mode of delivery and with small quantities of wider range (e.g. JIT lot size)— agreed upon customised packaging. This type of and (iv) number of Inventory turns. flexibility can influence the decision of customers to place orders, and thus can be regarded as 3.5.2. Customer query time important in enchanting and retaining customers Customer query time relates to the time it (Novich, 1990). takes for a firm to respond to a customer query with the required information. It is not unusual 3.4.2. Total distribution cost for a customer to enquire about the status Perhaps the most important research concerning of order, potential problems on stock avail- logistics is going on in the area of design of ability, or delivery. A fast and accurate response efficient and cost effective distribution systems. to those requests is essential in keeping customers For this, an understanding of total distribution satisfied. cost is essential, so that proper trade-offs can be applied as a basis for planning and reassessment of 3.5.3. Post transaction measures of customer distribution systems. The urgency of dealing with service transportation cost was highlighted by Thomas The function of a supply chain does not end and Griffin (1996), who argued that since trans- when goods are provided to the customer. Post portation cost accounts for more than half of the transaction activities play an important role in total logistics cost, more active research is needed customer service and provide valuable feedback in the area. To deal with distribution costs, that can be used to further improve supply chain measuring individual cost elements together with performance. their impact on customer service encourages trade- offs that lead to a more effective and efficient 3.6. Supply chain and logistics cost distribution system. The efficiency of a supply chain can be assessed using the total logistics cost—a financial 3.5. Measuring customer service and satisfaction measure. It is necessary to assess the financial impact of broad level strategies and practices To a world class organisation, a happy and that contribute to the flow of products in a satisfied customer is of the utmost importance. In supply chain. Since logistics cut across func- a modern supply chain customers can reside next tional boundaries, care must be taken to assess door or across the globe, and in either case they the impact of actions to influence costs in one must be well served. Without a contented custo- area in terms of their impact on costs associ- mer, the supply chain strategy cannot be deemed ated with other areas (Cavinato, 1992). For effective. Lee and Billington (1992) and van Hoek example, a change in capacity has a major effect et al. (2001) emphasised that to assess supply chain on cost associated with inventory and order performance, supply chain metrics must centre on processing. customer satisfaction. 3.6.1. Cost associated with assets and return on 3.5.1. Flexibility investment Of the factors by which supply chains compete, Supply chain assets include accounts receivable, flexibility can be rightly regarded as a critical one. plant, property and equipment, and inventories. Being flexible means having the capability to With increasing inflation and decreased liquidity, provide products/services that meet the individual pressure is on firms to improve the productivity of demands of customers. Some flexibility measures capital—to make the assets sweat. In this regard it include: (i) product development cycle time, (ii) is essential to determine how the cost associated machine/tool set up time, (iii) economies of scope with each asset, combined with its turnover, affects (Christopher, 1992)—refers to the production of total cash flow time. One way to address this is by
  • 7. ARTICLE IN PRESS A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 339 expressing it as an average days required to 4. The research methodology turn cash invested in assets employed into cash collected from a customer (Stewart, 1995). The framework presented by Gunasekaran et al. Thus, total cash flow time can be regarded (2001) was used in developing a survey used to as a metric to determine the productivity of study performance measures and metrics used in a assets in a supply chain. Once the total cash supply chain environment. A seven-page ques- flow time is determined, this can be readily tionnaire1 was developed for collecting data. The combined with profit to provide insight into questionnaire was divided into four basic sections. the rate of return on investment (ROI). This They are as follows: plan (including strategy), determines the performance by top management source/supply (order), produce (make/assemble), is terms of earnings on the total capital invested and delivery (to customer). These four categories in a business. correspond to the four basic activities or processes With customer service requirements constantly in a supply chain—plan–source–make/assemble– increasing, effective management of inventory in delivery. The questionnaires were mailed with a the supply chain is crucial (Slack et al., 1995). In a cover letter and addressed to the CEO of each supply chain, the total cost associated with firm. Targeted recipients were instructed to com- inventory can be broken down into the following plete the survey themselves or refer it to an (Stewart, 1995; Christopher, 1992; Slack et al., appropriate person for the same. Participants were 1995; Lee and Billington, 1992; Levy, 1997): identified using the ‘Kompass Register’ for UK Opportunity cost, consisting of warehousing, industries (Volumes I and II) published by the capital and storage; Cost associated with inventory Reed Business Information Ltd., West Sussex, at the incoming stock level and work in progress; UK. A total of 150 large companies were selected Service costs, consisting of cost associated with from a wide range of industry settings. stock management and insurance; Cost of finished goods including those in transit; Risk costs, consisting of cost associated with pilferage, 5. Empirical analysis deterioration, and damage; Cost associated with scrap and rework; and Cost associated with too Of the 150 questionnaires mailed, 21 were little inventory accounting for lost sales/lost completed and returned. A breakdown of the production. survey response is shown in Fig. 1. Nearly all the responses were received within 4 weeks of mailing. 3.6.2. Information processing cost Twelve companies said that because of the larger This includes costs such as those associated with number of such enquiries they were unable to order entry, order follow/updating, discounts, and reply. Ten companies returned the questionnaire invoicing. On the basis of survey results from stating that they were not suitable candidates for various industries, Stewart (1995) identified in- the survey because of changes in their operations. formation processing cost as the largest contribu- The response rate was only 14%, but we felt that it tor to total logistics cost. The role of information was adequate to assist us in developing our technology is shifting from a general passive framework. management enabler through databases, to a highly advanced process controller that can 5.1. Planning performance evaluation metrics monitor activities and decide upon an appropriate route for information. Modern information tech- This section deals with financial and non- nology, through its power to provide timely, financial strategic level performance measures. accurate, and reliable information, has led to a The importance of these parameters was estab- greater integration of modern supply chains than lished by calculating the mean of all responses and possible by any other means (Naim, 1997; 1 Benjamin and Wigand, 1995). Available upon request from authors
  • 8. ARTICLE IN PRESS 340 A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 Responded with Said were not Table 1 completed questionnaire Ratings strategic planning metrics 14% able to reply 8% Assessment Strategic performance Percentage metrics importance Highly important Level of customer 16.42 perceived value of 7% product Returned the 71% questionnaire Moderately Variances against 14.23 without important budget Did not respond to completing it Order lead time 13.50 the questionnaire Information processing 12.68 Fig. 1. Breakdown of response for the survey. cost Net profit Vs 12.46 productivity ratio Total cycle time 11.80 ranking them accordingly. The ranks were con- Total cash flow time 10.27 verted to relative percentages by dividing each rank, by the total of all ranks for the group of Less important Level of energy 8.64 measures/metrics. This approach is similar to the utilisation method used in Pareto analysis wherein problem frequencies are converted to percentages to show relative importance. The percentages better high- to validate the framework should employ a better light differences in the importance of performance sample and more rigorous statistical techniques. measures in each group (we used this approach in The first set of measures (five non-financial and analysing performance measures in all groups three financial) pertain to planning, but more discussed herein). We further categorized the specifically to strategic planning. Table 1 shows measures based on importance (highly important, the measures and their relative importance as moderately important and less important). The determined by our analysis of the survey data. methodology employed for such was similar to the The importance rating survey results show that methodology used in ABC inventory (inventory the level of customer perceived value of product is item’s annual cost is stated as a percent of total of the utmost importance. It was deemed highly inventory costs) to prioritize inventory manage- important which clearly reflects the perception of ment decisions (item cost percentages sorted in practitioners that customer satisfaction is para- descending order and grouped into A—most mount in importance in increasing competitive- important, B—moderate importance, and C—less ness. The measures considered moderately important based on their contribution to total important in descending order include variances costs). We used this approach in analysing against budget, order lead-time, information- performance measures in all groups discussed processing cost, net profit vs. productivity ratio, herein. Please note that categorizing a measure as total cycle time and total cash flow time. Variances less important does not mean it is unimportant, against budget, information-processing cost and but rather it seems less important compared to net profit vs. productivity are of course financial others in the measurement group. We believe a measures and reflect the importance of financial similar approach could be used by managers in measures in strategic planning and control— setting priorities in the development of a measure- financial stability is essential to organizational ment system for supply chain performance. Our success. The other three moderately important small sample size precluded the use of more measures were order lead time, total cycle time and powerful statistical techniques. We believe our total cash flow time. Their rating further highlights approach is adequate for our use of the data in the importance of non-financial measures in framework development. A more rigorous study strategic planning and control and to subsequent
  • 9. ARTICLE IN PRESS A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 341 Table 2 warrant monitoring by management and improve- Importance of order planning metrics ment effort. Cross-functional teams, rapid proto- Assessment Metrics Percentage typing, and concurrent engineering involving importance suppliers would seem appropriate in efforts to improve product development cycle time. Many Highly important Customer query time 19.11 alternative techniques are available for forecasting. Moderately Product development 17.37 If forecasting accuracy is a concern, firms might important cycle time examine the techniques employed with an eye toward improvement. Because the forecasts of all Less important Accuracy of forecasting 16.59 supply chain links can influence supply chain Planning process cycle 15.90 time performance, a concerted effort by all should be Order entry methods 15.51 made to assure accurate forecasts. This is empha- Human resource 15.51 sized by a survey participant (a machine tool productivity manufacturer) who said that supply chain partners should ‘‘Use better forecasting techniques to remove uncertainties in supply chain.’’ Many under- organizational success. The only strategic planning stand the consequences of weak forecasting measure deemed less important was level of energy performance and recognize the need to measure utilisation which may suggest that it is not of and improve it. strategic significance. That, of course, could vary By benchmarking their forecasting methods from firm to firm, depending on energy cost as a with those of the best, a better understanding the percent of total manufacturing cost and on energy techniques might be gained and greater accuracy price levels relative to the prices of other manu- achieved. Also, by integrating production sche- facturing inputs. dules with others in the supply chain, more The percentage importance (relative impor- accurate day to day demand forecast might be tance) of the strategic performance metrics clearly possible for all links in the supply chain. Planning suggests that non-financial measures of perfor- process cycle time, order entry methods, and mance are considered by practitioners to be human resource productivity were the less im- important in assessing the competitiveness of an portant order planning measures. Planning process organization. This is not to say that financial cycle time and order entry methods could be measures are no longer important, but rather that improved through reengineering efforts that in- non-financial measures are important and neces- clude multiple links in the supply chain, because sary in assessing a firm’s ability to compete. the actions of multiple participants interact to In Table 2, the order of priority for the order influence performance in these areas. Improve- planning level metrics is presented. At the order ments in customer query time, product develop- planning level, customer query time was highly ment cycle time and planning process cycle time important, which would seem to emphasize the might be brought about by greater human importance of customer service. Product develop- resource productivity, so although it was rated ment cycle time and forecasting were moderately last in importance, human resource productivity important. These two factors relate to meeting should not be dismissed as unimportant. Improve- customer needs and doing so in a timely fashion. ment in order entry methods, customer query time, Although there is no statistical evidence contained forecasting accuracy and customer query time herein to prove such a link, common sense might be brought about through the application of suggests a link between these and the perceived information technology to increase accuracy and customer value of the product, rated number one expedite the flow of information throughout the among the strategy performance measures. The supply chain. Process cycle time can be tackled by importance ratings of product development cycle using techniques like single minute exchange of die time and forecasting measures suggests that they and group technology, whereby similar facilities
  • 10. ARTICLE IN PRESS 342 A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 for production will be grouped to reduce manu- Table 3 facturing lead-time. Importance of supplier metrics Assessment Metrics Percentage 5.2. Supply link evaluation metrics importance Highly important Supplier delivery 23.20 Due to the growing importance outsourcing, performance whereby firms outsource a major part of their products, evaluation of supply link performance is Moderately Supplier lead-time 19.69 very important in managing the supply chain for important against industry norm Supplier pricing against 18.30 peak efficiency and effectiveness. In this section, market the importance of performance measures/metrics Efficiency of purchase 15.42 in a supply chain link (includes purchasing and order cycle time supplier management activities) are rated in importance. Based on the literature, six key Less important Efficiency of cash-flow 12.38 method performance indicators (KPI) pertaining to the Supplier booking in 11.01 supplier link were included in the survey and procedures ranked by participants. These measures include: supplier delivery performance, lead-time against industry norm, supplier pricing against market, schedules and terms of the order as well as prompt efficiency of purchase order cycle time, efficiency delivery of goods have become order winners. of cashflow method, and supply booking proce- Firms would do well to not just use supplier dures. The main objective here is to identify the metrics for selection of suppliers, but rather they KPI in supply link performance evaluation. The should work closely with suppliers to see that they KPI can be defined as the performance indicators have in place within their organizations, measure- that have significant impact on the overall ment systems that will foster significant improve- performance of an organization in the areas of ment in all of these areas. Such improvement strategic, tactical and operational planning and contributes to the overall success of a supply control. The percentage importance ratings of the chain. six measures are included in Table 3. As can be seen in Table 3, supplier delivery 5.3. Production performance evaluation metrics performance emerged as the most important measure pertaining to the evaluation of supplier In this section, supply chain production link performance. It was the only highly important metrics/measures are rated in importance. The measure. One can see from the table that it is literature provided the production link measures, clearly set apart from the others by its percentage and as with other metrics evaluated in this paper, importance rating. The moderately important the survey responses provided the basis for rating measures in descending order are supplier lead- the importance of these measures. The perfor- time against industry norm, supplier pricing mance measures for the production link included against market and efficiency of purchase order percentage of defects (a measure of product cycle time. The less important supplier measures quality), cost per operation-hour, capacity utiliza- were efficiency of cash flow method and supplier tion, range of product and services, and utilization booking in procedures. Most notable about the of economic order quantity. Table 4 contains the supplier metrics is that firms regard the supplier’s measures and their percentage importance ratings. capability to reliably deliver goods in a timely From the table one can see that the percentage of fashion as more important than price. Price has defects emerged to be the most important increasing become an order qualifier rather than (24.27%), but two others, cost per operation hour an order winner. Other aspects of supplier and capacity utilization, were also highly impor- performance such as adherence to agreed upon tant. The latter two are essentially measures of the
  • 11. ARTICLE IN PRESS A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 343 Table 4 5.4. Delivery performance evaluation metrics Importance of production metrics Assessment Metrics Percentage After the orders are planned and goods sourced, importance produced and assembled, the remaining task is to deliver them to customer. Table 5 shows the order Highly important Percentage of defects 24.27 Cost per operation hour 22.51 of importance of delivery performance measures. Capacity utilization 21.61 Quality of delivered goods is first in importance, followed by on time delivery of goods and Moderately Range of products and 18.01 flexibility of service systems to meet customer important services needs. These three measures are highly important. Less important Utilization of economic 13.60 Note that there is very little difference in the rating order quantity of quality of delivered goods and on time deliver of goods. Here again, we believe that these three are related to the perceived customer value of the product, the top ranking strategic planning mea- efficiency with which resources are used in sure. Providing the customer with a quality manufacturing (produce/assemble), and good per- product in a timely fashion, and maintaining formance in these two areas translates into lower customer satisfaction with a service system de- cost per unit to manufacture products/provide signed to flexibly respond to customer needs are services. Efficiency of operations is important for key in producing value for the customer. all supply chain partners, if the elusive goal of The effectiveness of the enterprise distribution supply chain optimization is to be achieved. Note that the percentage importance of each of these three clearly sets them apart from the moderately Table 5 important and less important measures. We should Importance of delivery performance measures caution that maximum efficiency of each partner Assessment Delivery performance Percentage in all areas might not be a desirable because metrics rating tradeoffs are necessary in order to achieve a global Highly important Quality of delivered 12.34 optimum for the supply chain—local optimums in goods all parts do not necessarily lead to global On time delivery of 12.20 optimization for a system. goods The only measure rated moderately important Flexibility of service 11.43 systems to meet was range of products and services. As noted in the customer needs literature, a broader range of products tends to result in fewer new products being introduced and Moderately Effectiveness of 10.31 a more narrow range is associated with greater important enterprise distribution product innovation. For this reason, the measure planning schedule Effectiveness of delivery 10.23 does seem worthy of the attention of managers, invoice methods especially in making decisions about the breadth Number of faultless 10.05 and depth of product lines. The least important delivery notes invoiced measure in the production link measures was Percentage of urgent 9.32 utilization of economic order quantity. It was the deliveries Information richness in 8.76 only measure rated less important. It may be that carrying out delivery the participants, in assigning their ratings, re- garded the use of EOQ as a means to an end rather Less important Percentage of finished 7.76 than an end in and of itself. In short, quality and goods in transit efficiency seem to be more important considera- Delivery reliability 7.70 performance tions in evaluating production performance.
  • 12. ARTICLE IN PRESS 344 A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 planning schedule, effectiveness of delivery invoice mid-level managers who are generally the ones methods, number of faultless delivery notes responsible for tactical decisions. invoiced, percentage of urgent deliveries and The items in each cell are listed in the order of information richness in carrying out the delivery importance based on percentage importance rat- are moderately important. According to the rating ings. Those ratings can be seen in Tables 1–5. of measures, while unquestionably important, Readers can refer to those tables in order to more these measures are not as important as the quality closely examine the importance ratings of indivi- of the delivered product and on time delivery. It dual measures/metrics. Some measures appear in would seem, at least on the surface that on time more than one cell, indicating that measures may delivery would result from an effective enter- be appropriate at more than one management prise distribution planning schedule, so it level. Measures used at different management would probably be unwise to ignore the obvious levels will most assuredly require adjustment to importance of the enterprise distribution plan- tailor them to planning and control needs of the ning schedule—one is the means and the other different levels. For example, appropriate mea- the end. surement may require that data used by the lower In the survey, companies were asked to express level of management be aggregated in some form their views on reducing the cost of a delivery or fashion to make the data appropriate for the system. Their responses tended to emphasize next higher level (convert data into information techniques like JIT and the application of auto- appropriate for the context). There is nothing mation alternatives to reduce costs. Trade-offs novel about this approach, as it has been used between centralisation of the distribution system for years in management planning and control and decentralisation of the system were mentioned systems. as was third party logistics. The approach we used in organizing the measures for the framework could be used by organizations in development of a performance 6. A framework for performance measurement in measurement program for SCM. Managers and/or a supply chain consultants could identify measurements (we recommended many such measurements herein), In this section, a framework for performance rate their importance using the methodology we measures and metrics is presented (see Table 6), used for rating importance, and construct a matrix considering the four major supply chain activities/ like our own to identify the supply chain activity/ processes (plan, source, make/assemble, and de- process to be measured, the measurement, and liver). These metrics were classified at strategic, level of management to which the measure should tactical and operational to clarify the appropriate be applied. More detail could be added to fix level of management authority and responsibility personal responsibility for measures with indivi- for performance. This framework is based in part dual managers, or management positions. of a theoretical framework discussed by Gunase- Readers should keep in mind that this frame- karan et al. (2001) and on the empirical analysis work is based largely on metrics discussed in the reported herein. Measures are grouped in cells at literature. Individual firms will certainly have the intersection of the supply chain activity and performance measurement needs that reflect the planning level. For example, Supplier delivery unique operations of their business and of course performance can be found at the intersection of not all supply chains are identical. Thus other the Source activity and Tactical planning level measures may be desirable and should be devel- indicating that it pertains to sourcing activities oped by firms and supply chain participants to (source) and the tactical planning level. Supplier reflect their unique needs. This framework should delivery performance would thus be a measure be regarded as a starting point for an assessment useful in analyzing the performance of mid-level of the need for supply chain performance mea- managers as they undertake sourcing activities— surement. It is likewise important to understand
  • 13. ARTICLE IN PRESS A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 345 Table 6 Supply chain performance metrics framework Supply Strategic Tactical Operational chain activity/ process Plan Level of customer perceived value of Customer query time, Product Order entry methods, Human product, Variances against budget, development cycle time, Accuracy of resource productivity Order lead time, Information forecasting techniques, Planning processing cost, Net profit Vs process cycle time, Order entry productivity ratio, Total cycle time, methods, Human resource Total cash flow time, Product productivity development cycle time Source Supplier delivery performance, Efficiency of purchase order cycle supplier leadtime against industry time, Supplier pricing against norm, supplier pricing against market market, Efficiency of purchase order cycle time, Efficiency of cash flow method, Supplier booking in procedures Make/ Range of products and services Percentage of defects, Cost per Percentage of Defects, Cost per Assemble operation hour, Capacity utilization, operation hour, Human resource Utilization of economic order productivity index quantity Deliver Flexibility of service system to meet Flexibility of service system to meet Quality of delivered goods, On time customer needs, Effectiveness of customer needs, Effectiveness of delivery of goods, Effectiveness of enterprise distribution planning enterprise distribution planning delivery invoice methods, Number schedule schedule, Effectiveness of delivery of faultless delivery notes invoiced, invoice methods, Percentage of Percentage of urgent deliveries, finished goods in transit, Delivery Information richness in carrying out reliability performance delivery, Delivery reliability performance that the rated importance of metrics in this expected levels after implementing contemporary framework is based on a relatively small sample, supply chain management (SCM) practices. The and thus, care should be taken in generalizing 76% affirmative response to that question clearly results to all supply chains. The importance of showed that effort focused on carefully managing individual metrics presented herein might not supply chains produced financial benefits for apply to all supply chains in all industries. Again, participating firms. From a financial perspective the framework is only a starting point. It is hoped alone, a proactive approach to SCM is advisable that this framework will assist practitioners in for firms wanting to enhance competitiveness. their efforts to assess supply chain performance. The SCM literature suggests that effective SCM help to win customers and improve customer service. Some 66% of the respondents in our 7. Conclusions survey noted the positive impact of SCM on market share, providing more evidence of the In our survey participants were asked whether strategic importance of successful SCM. The their return on investment had increased to potential benefits of SCM make it attractive, but
  • 14. ARTICLE IN PRESS 346 A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 improved performance is not automatic. As with come together to discuss how they will address any other organisational undertaking, it must be the measurement and improvement of SCM done well to yield positive results. This is why we performance. Industry consortiums, consultants, believe it is important to assess performance in and researchers could be helpful in promoting SCM and the reason we developed the SCM SCM performance measurement generally, and in performance measurement framework. developing measures and measurement techniques To bring about improved performance in a specifically. They could play a significant role in supply chain and move closer to attainment of the helping firms address the present and future illusive goal of supply chain optimization, perfor- challenges of managing supply chains. Clearly mance measurement and improvement studies tremendous opportunity exists to develop mea- must be done throughout the supply chain. All sures that facilitate progress and promote greater participants in the supply chain should be involved supply chain integration. and committed to common goals, such as custo- mer satisfaction throughout the supply chain and enhanced competitiveness. A performance mea- Acknowledgements surement program for a supply chain should be complete—important aspects of performance in The authors gratefully acknowledge the con- any link are not ignored—and they must be structive and helpful comments of two anonymous tailored to varying needs of participants. A good referees on the earlier version of the manuscript. SCM program will bring about improved cross- functional and intra-organisational process plan- ning and control and more complete supply chain References integration. A supply chain wide performance measurement initiative would seem most appro- Ballou, R.H., 1992. Business Logistics Management. Prentice- priate. This is not to suggest that one party dictate Hall, Inc., Englewood Cliffs, NJ. Benjamin, R., Wigand, R., 1995. Electronic markets and virtual measurement programs for all supply chain value chains on the information superhighway. Sloan participants, but rather that all participants take Management Review 36 (2), 62–72. part in developing a well planned, well coordi- Cavinato, J.L., 1992. Total cost value model for supply chain nated, supply chain-wide performance measure- competitiveness. Journal of Business Logistics 13 ment initiative to which all can and will be (2), 285–291. Christopher, M., 1992. Logistics and Supply Chain Manage- committed. A comprehensive control system will ment. Pitman Publishing, London. be necessary in order to assure effective and De Toni, A., Tonchia, S., 2001. Performance measurement efficient performance measurement all along the systems: Models, characteristics and measures. Interna- supply chain, but it must not be done in such a tional Journal of Operations & Production Management 21 (1/2), 46–70. way as to unduly limit the decision making Ellram, L.M., 1991. A managerial guide for the development authority of managers in participating organiza- and implementation of purchasing partnerships. Interna- tions. Care must be exercised in developing such a tional Journal of Purchasing and Materials Management 27 system in order that it promotes mutually advan- (3), 2–8. tageous exchange among participants, so that Fawcett, S.E., 1995. Using strategic assessment to increase the relationships endure the test of time. value-added capabilities of manufacturing and logistics. Production and Inventory Management Journal 36 (2), Additional research and practitioner-driven in- 33–37. itiatives are needed in the area of SCM perfor- Fisher, L.M., 1997. What is the right supply chain for your mance measurement. Creative efforts are needed product? Harvard Business Review 75 (2), 105–116. to design new measures and new programs for Graham, T.S., Dougherty, P.J., Dudley, W.N., 1994. The long assessing the performance of the supply chain as a term strategic impact of purchasing partnerships. Interna- tional Journal of Purchasing and Materials Management 30 whole as well as the performance of each (4), 13–18. organization that is a part of the supply chain. Gunasekaran, A., Patel, C., Tirtiroglu, E., 2001. Performance Organisation, suppliers and customers should measure and metrics in a supply chain environment.
  • 15. ARTICLE IN PRESS A. Gunasekaran et al. / Int. J. Production Economics 87 (2004) 333–347 347 International Journal of Operations & Production Manage- Novich, N., 1990. Distribution strategy: Are you thinking small ment 21 (1/2), 71–87. enough? Sloan Management Review 32 (1), 71–77. Kaplan, R.S., Norton, P.D., 1992. The balanced scoreboard- Rushton, A., Oxley, J., 1989. Handbook of Logistics and measures that drives performance. Harvard Business Distribution Management. Kogan Page Ltd., London. Review 70 (1), 71–79. Schroeder, R.G., John, C.A, Scudder, G.D., 1986. White collar Lee, H.L., Billington, C., 1992. Managing supply chain productivity measurement. Management Decision 24 (5), inventory: Pitfalls and opportunities. Sloan Management 3–7. Review 33 (3), 65–73. Slack, N., Chambers, S., Harland, C., Harrison, A., Johnston, Levy, D.L., 1997. Lean production in an international supply R., 1995. Operations Management. Pitman Publishing, chain. Sloan Management Review 38 (2), 94–102. London. Little, D., Kenworthy, J., Jarvis, P., Porter, K., 1995. Stewart, G., 1995. Supply chain performance benchmarking Scheduling across the supply chain. Logistics Information study reveals keys to supply chain excellence. Logistics Management 8 (1), 42–48. Information Management 8 (2), 38–44. MacBeth, D.K., Ferguson, N., 1994. Partnership Sourcing: An Thomas, D.J., Griffin, P.M., 1996. Co-ordinated supply chain Integrated Supply Chain Management Approach. Pitman management. European Journal of Operational Research 94 Publishing, London. (3), 1–15. Maloni, M.J., Benton, W.C., 1997. Supply chain partnerships: Trent, R.J., Monczka, R.M., 1994. Effective cross-functional Opportunities for operations research. European Journal of sourcing teams: Critical success factors. International Operational Research 101, 419–429. Journal of Purchasing and Materials Management 30 (4), Mapes, J., New, C., Szwejczewski, M., 1997. Perfor- 3–11. mance trade-offs in manufacturing plants. International van Hoek, R.I., 2001. The contribution of performance Journal of Operations & Production Management 17 (10), measurement to the expansion of third party logistics 1020–1033. alliances in the supply chain. International Journal of Maskell, B.H., 1991. Performance Measurement for World Operations & Production Management 21 (1/2), 15–29. Class Manufacturing. Productivity Press, Inc., Portland, van Hoek, R.I., Harrison, A., Christopher, M., 2001. Measur- OR. ing agile capabilities in the supply chain. International Naim, M.M., 1997. The Book That Changed the World. Journal of Operations & Production Management 21 (1/2), Manufacturing Engineer (February), 13–16. 126–147.