2. TRAINING PROGRAMME OVERVIEW
The Project Performance Framework
Key Performance Indicators and Monitoring of Outcomes: Guide to
Identification and Selection
Developing and Analyzing Project Performance Objectives: Outputs
and Outcomes
Project Performance Benchmarking
Measuring and Monitoring Project Performance
Reporting & Documenting Project Performance
Research Methods in Project Performance Management
Establishing Baselines and Gathering Data
Project Information Management Systems in Project Performance
Management
3. THE FUNDAMENTAL CONCEPTS
Defining Project/Project Management
Defining Performance Management
The Project Management Triple Constraint
The Project Management Life-cycle
The Performance Management process/cycle
4. DEFINING PROJECT/PROJECT MANAGEMENT
According to Gray & Larson (2008) a project is
defined as a complex, non-routine, one-time effort
limited by time, budget, resources and performance
specifications designed to meet specific needs.
PMBOK (2000) define project management as the
application of knowledge, skills, tools and techniques
to project activities to meet project requirements.
5. DEFINING PERFORMANCE
MANAGEMENT
Performance
management can be seen as a comprehensive
management system aimed at constantly improving and
monitoring the performance of others.
It therefore concerns itself with improving productivity, delivering
a better quality service/product and is aimed at achieving the
goals of both the institution and the employee.
11. PHASES OF PROJECT PERFORMANCE
MONITORING AND TRACKING
•
Preventative - Prior to Initiation
Project Selection
Risk Management
•
Concurrent – Project Implementation
Project Monitoring Information System
Project Control Process
Earned Value Management
Control Charts
•
Reactive – Post Project Evaluation
Post project metrics
12. PROJECT SELECTION TOOLS –
NUMERIC MODELS
Financial Models:
Payback period
Return on Investment (ROI)
Net Present Value (NPV)
Internal Rate of Return (IRR)
17. DATA COLLECTION
Data collection determined by which metrics will be used
for project control
What data to collect?
How will data be collected?
Who will collect the data?
When will data be collected?
18. DATA ANALYSIS
Methods – electronic and/or manual
Process
Collation
Analysis
Interpretation
Verification
19. DATA REPORTING
Form – written or oral
Format:
Progress since last report
Current status of project – schedule, cost and scope
Cumulative trends
Problems and issues – new variances and resolutions
Corrective action planned
22. DEFINING EARNED VALUE MANAGEMENT
(EVM)
Earned Value Management (EVM) is a project management
technique for measuring project performance and
progress.
It integrates scope, cost and schedule measures to
assess the performance of a project.
Based on the three measures a baseline cost and
schedule is developed and actual performance is
measured with regards to the baseline values.
23. EARNED VALUE MANAGEMENT
Mastering the terminology:
Planned Value (PV)
Earned Value (EV)
Actual Cost (AC)
Schedule Variance (SV)
Cost Variance (CV)
Schedule Performance Index (SPI)
Cost Performance Index (CPI)
Critical Ratio (CR)
24. EARNED VALUE MANAGEMENT CONCEPTS
Budget at Completion (BAC): The original cost estimate, budget or quotation.
Planned Value (PV): This is the authorized budget allocated to the work to be
accomplished for an activity. It is also known as budgeted cost of work scheduled
(BCWS)
Earned Value (EV): This is the value of work performed expressed in terms of the
approved budget assigned to work for an activity. It is also known as budgeted cost of
work performed (BCWP). BCWP = % complete X BAC
Actual Cost (AC): This is the actual cost incurred in accomplishing the work performed
for an activity. It is also known as Actual Cost of Work Performed (ACWP).
26. EARNED VALUE MANAGEMENT CONCEPTS
Schedule Variance (SV): Schedule variance is calculated as SV = EV –PV
Cost Variance (CV): Cost variance is calculated as CV = EV-AC
Schedule Performance Index (SPI): This represents efficiency of the time utilized on the project.
It is calculated as measure of progress achieved compared to progress planned for a project. SPI =
EV/PV
Cost Performance Index (CPI): This represents the efficiency of the resource (cost) utilized on the
project. It is calculated as measure of value of work completed compared to the actual cost or progress
made on the project. CPI = EV/AC
Estimate at completion (EAC) is the expected total cost of a task or project, based on performance
as of the status date. EAC is also called forecast at completion, and is calculated like this: EAC =
ACWP + (BAC - BCWP) / CPI.
Critical Ratio (CR): This indicator combines both the cost performance index (CPI) and schedule
performance index (SPI) to represent the project status. This indicator takes care of cost and schedule
trade-offs.
27. THE SIGNIFICANCE OF THE
CRITICAL RATIO
Indicates whether project performance is stable or not over
project duration.
Predicts
future
performance.
performance
from
a
stable
project
Indicates whether project has experienced special cause
variation during the project duration.
Indicates any special trend or pattern observed in project
performance.
32. LIMITATIONS OF EVM
EVM indexes are point estimates; they represent the
performance of the project at a particular reporting
instance. They do not provide information about project
performance over a period of a time.
They
do not
performance.
capture
the
trend
of
project
33. CONTROL CHARTS
Control Charts are a quality tool which displays process
data over time against the process control limits.
Control limits define the area three standard deviations (by
default) on either side of the centerline, or mean, of data
plotted on a control chart where expected variation is
observed.
A control chart is used to determine whether a given
process is stable (contains only common cause variation)
or it is subjected to special cause variation.
34. BASIC COMPONENTS OF A CONTROL
CHART
Centerline representing the mean value of the data points
Horizontal border lines, Upper Control Limit (UCL) and Lower
Control Limit (LCL) that define the limits of common cause variations
Data points plotted over time
35. TYPES OF VARIATION
Common
Cause
Variation
(or
Controlled
Variation): These variations are present in the process
due to its inherent nature. These are predictable and
expected variations.
Special
Cause
Variation
(or
Uncontrolled
Variation): These variations are introduced in the process
by non–random events /factors external to process. If
special cause variation is present in the process then
process is said to be in unstable state.
37. POST-PROJECT EVALUATION
Perform a Post Implementation Review of the project
Close-out report
Assessment of the project against actual performance,
quality of management (focusing on quality and risk
management)
The lessons learnt that can be applied to future projects