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INNOVATION MANAGEMENT Jiří Vacek vacekj @ kip.zcu.cz Department of Management, Innovations and Projects UWB, Faculty of Economics Summer semester 2009/10
Lesson 1 Introduction Basic concepts Importance of innovations
CHARACTERISTIC S  OF SUCCESSFUL INNOVATING COMPANIES  - 1 ,[object Object],[object Object],[object Object],[object Object],[object Object]
CHARACTERISTIC S  OF SUCCESSFUL INNOVATING COMPANIES  - 2 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Definition of innovation - 1 ,[object Object]
Definition of innovation - 2 ,[object Object],[object Object]
Oslo  Manual ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
DEGREE OF NOVELTY  ,[object Object],[object Object],[object Object]
Classification of innovations SYSTEM New series of cars, planes, computers, TV New generation (MP3 and download as substitution of CD) Steam engine, ICT, biotechnology, nanotechnology COMPONENT Improvement of components New components for existing systems Advanced materials improving component properties INCREMENTAL „ do better what we already do“ „ new for the  company“ RADICAL „ new for the world“
INNOVATION PROCESS   ,[object Object],[object Object],[object Object],[object Object],[object Object]
FOCUS ,[object Object],[object Object],[object Object],[object Object]
RECOMMENDATIONS ,[object Object],[object Object],[object Object],[object Object],[object Object]
WHAT TO DO   ,[object Object],[object Object],[object Object],[object Object],[object Object]
WHAT TO AVOID ,[object Object],[object Object],[object Object]
Three conditions for innovations   ,[object Object],[object Object],[object Object]
CASE STUDIES
Linet   Želevčice ,[object Object],[object Object],[object Object],[object Object]
No comment … 1990 2005
TOSHULIN ,[object Object],[object Object],[object Object]
 
Types of design engineers   spouter of ideas suggests designs and problem solutions without detailed consideration of all possible results and consequences system designer examines all ideas and thoughts systematically finisher   of ideas elaborates independently in details the ideas which he gets to elaborate   routine engineer efficient and reliable engineer; however, without creative approach   attendance engineer performs routine tasks [1%] [5%] [54%] [30%] [10%]
Con nective  ti ssue  pro ducts RNDr. Vladimír Velebný, CSc . Contipro
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Holding – current state
Sales in regions
[object Object],[object Object],[object Object],3 pillars of success
3M and post-it notes   http://www.3m. com / us / office /postit/ pastpresent / history _ ws . html
More about 3M A  Century   of   Innovation   The  3M  Story   http:// solutions .3m. com / wps / portal /3M/en_US/ About /3M/
iGO – distribution of bateries   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Adaptors ,[object Object],[object Object]
Bang & Olufsen  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Bang & Olufsen – products
More case studies ,[object Object],[object Object]
More case studies ,[object Object],[object Object],[object Object]
The most important innovations  in last 30 years ,[object Object]
Lesson 2 Disruptive and open innovations
Innovation categories ,[object Object],[object Object]
Key elements of disruption   ,[object Object],[object Object]
Sustaining vs. disruptive ,[object Object],[object Object]
Clayton M. Christensen: The Innovator´s Solution, Harvard Business Press, 2003
[object Object]
Clayton M. Christensen: The Innovator´s Solution,  Harvard Business Press, 2003
Clayton M. Christensen: The Innovator´s Solution,  Harvard Business Press, 2003
Clayton M. Christensen: The Innovator´s Solution,  Harvard Business Press, 2003
Clayton M. Christensen: The Innovator´s Solution,  Harvard Business Press, 2003
Conditions of success  - 1 ,[object Object],[object Object],[object Object]
Conditions of success - 2 ,[object Object],[object Object],[object Object]
Two types of disruption   ,[object Object],[object Object]
 
 
 
 
OPEN INNOVATION   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Chesbrough H.W.: The Era of Open Innovation, MIT Sloan Management Review, Spring 203, p. 35 - 41
 
Closed  innovation Open  innovation All the best people are working for us Not all the best people are working for us   . We must work with clever people within and outside our company.  R & D creates profit only when we invent, develop and market everything ourselves.  External R&D can create remarkable value; to employ it, we need absorption capacity, often as internal R&D.  If we develop the product ourselves, we will be the first on the market.  R & D can create profit even if we do not initialize an d  perform it ourselves.  Winner is who gets the innovation to the market first.  To develop better  business model  is more important than to be the first in the market.  We will win if we develop most of the ideas (an the best of them).  We will win if we make best use of  intern al  and  extern al ideas.  We must have our intellectual property under control so that our competitors can make advantage of it.  We must be able to profit from others using our intellectual property and we must license the intellectual property if it supports our business model.
Closed  innovation Open  innovation Examples :  nuclear industry, mainframe computers Examples  : PC,  movies Mostly  intern al ideas Many external ideas Low workforce mobility High workforce mobility Low  role  of the venture capital Active venture capital Few new businesses, weak ones Many new businesses Universities are not important as the sources of ideas Universities are not important as the sources of ideas and people
Business model   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Business model– cont´d ,[object Object],[object Object],[object Object]
Product architecture   ,[object Object]
Interdependent Architecture   System Component A   Component B   Component C
Interdependent Architecture ,[object Object],[object Object]
Modular Architecture   System Component A   Component B   Component C
Modular Architecture ,[object Object],[object Object],[object Object]
IMPLICATIONS FOR NPD ,[object Object],[object Object],[object Object],[object Object]
Lesson 3 Assessment of company  innovation potential
COMPANY INNOVATION POTENTIAL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
INNOVATION POTENTIAL ASSESSMENT ,[object Object],[object Object]
A .  STRATEGY AND PLANNING   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
B .  MARKETING ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
C . TECHNOLOGICAL PROCESS   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
D.  QUALITY, ENVIRONMENT   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
E .  LOGISTICS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
F .   ORGANIZATION AND HUMAN RESOURCES   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
Lesson 4 STRUCTURING THE NEW PRODUCT DEVELOPMENT PROCESSES EVALUATION OF THE NEW PRODUCT DEVELOPMENT AND R& D  PROJECTS HOW TO SELECT THE PORTFOLIO  OF NEW PRODUCT DEVELOPMENT PROJECTS
STRUCTURING THE NEW PRODUCT DEVELOPMENT PROCESSES
The objectives of process models
Stage-gate process   ,[object Object],[object Object],[object Object],[object Object]
2-nd  generation  SG  process
Evaluation criteria ,[object Object],[object Object],[object Object],[object Object]
I nterdisciplinary view
F uzzy  F ront  E nd  (FFE, FEI) ,[object Object],[object Object],[object Object]
P hase 0 ,[object Object]
Incremental vs. radical innovations ,[object Object],[object Object],[object Object]
New concept development model   ,[object Object]
Difference Between FFE and NPD Milestone achievement.  Strengthened concepts.  Measures of  Progress Multifunction product and/or process development team minimize risk and optimize potential Activity  Predictable, with increasing certainty, analysis, and documentation as the product release date gets closer. Often uncertain, with a great deal of speculation. Revenue Expectations Budgeted.  Variable Funding  High degree of certainty.  Unpredictable or uncertain.  Commercialization Date Disciplined and goal-oriented with a project plan. Experimental, often chaotic. “ Eureka” moments. Can schedule work—but not invention.  Nature of Work  New Product Development (NPD)  Fuzzy Front End (FFE)
N ew concept development model   (NCD)   Technology push Market pull
NCD components ,[object Object],[object Object],[object Object]
Technology stage-gate process  (TSG) ,[object Object],[object Object],[object Object]
Traditional and technology stage-gate processes
EVALUATION OF THE NEW PRODUCT DEVELOPMENT AND R& D  PROJECTS
Stage-gate process IDEA Gate 1 Idea screening Stage 1 Preliminary evaluation Gate 2 Detailed evaluation Stage 2 Product definition Gate 3 Decision to develop Stage 3 Development Gate 4 Decision to test Stage 4 Testing Gate 5 Decision to commercialize Stage 5 Commercialization EVALUATION
Project feasibility ,[object Object],[object Object],[object Object]
DCF methods ,[object Object],[object Object],[object Object]
Weakness of DCF methods ,[object Object],[object Object]
Project Expected Commercial Value (ECV)   ,[object Object],[object Object],[object Object],[object Object]
Development D ECV YES NO Success p d Failure Commercialization C YES NO Success p C Failure P V ECV = project expected commercial value p d   = probability of successful development p c   = probability of successful commercialization D  = development costs C  = commercialization costs PV  = net present value of expected project earnings ECV = [(PV * p c  – C) * p d ] – D according to [Cooper 2001]
Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Probability tree in project evaluation Stage 1 – Year 1 Cost =  $0,5 M DCF =  - $ 0,446M Stage 2 – Year 2 Cost  =  $0,5 M DCF =  - $ 0,399M Stage 2 – Year 3 Cost =  $0,5 M DCF =  - $ 0,356M Stage 3 – Year 4 NPV =  $3,0 M DCF = $1,907 M 50% 50% 25% 75% Stop Stop 50% x (-0,446M) = -0,223M 12,5% x (-1,201M) = -0,150M 37,5% x  (1,907-(0,356+0,399+0,446)) =  = 37,5% x (1,907-1,201) =  = 37,5% x 0,706M = 0,265M ECV = 0,265 - 0,150 - 0,223 = -0,109M ,[object Object]
Real options  ,[object Object],[object Object]
Two kinds of risks   ,[object Object],[object Object]
Specific risk   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Market risk   ,[object Object],[object Object],[object Object],[object Object]
Volatility ,[object Object],[object Object],[object Object],[object Object]
Application ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object]
HOW TO SELECT THE PORTFOLIO  OF NEW PRODUCT DEVELOPMENT PROJECTS
O utline ,[object Object],[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Portfolio management ,[object Object],[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB A reluctance to kill projects. Many projects added to the list A total lack of focus Too many projects – resources thinly spread. Projects in the queue. Quality of execution suffers. Increased time to market Higher failure rates Weak decision points (broad gates) Poor Go/Kill decisions Too many low value projects Good projects are starved Too few stellar product winners Many ho hum launches No rigorous selection criteria Project selected on emotion, politics W r ong projects are selected Many failures No strategic criteria for project selection Projects lack strategic direction Projects not strategically aligned Scatter gun effort Does not support strategy No portfolio management means  … Immediate result End result: poor new product performance
Portfolio management goals   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Goal 1 Maximizing the portfolio value   ,[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Projects net present values and resource requirements   Project NPV Remaining resource requirements Bang-for-buck index Immediate resource requirements A 52,0 9,5 5,5 3,2 B 30,0 3,1 9,7 0,3 C 8,6 2,1 4,1 1,4 D 42,0 3,8 11,1 2,5 E 48,5 7,0 6,9 1,3 F 43,8 5,0 8,8 1,5 G 37,5 8,3 4,5 3,8 H 3,0 1,0 3,0 0,7 I 9,5 2,5 3,8 0,5 J 6,2 0,8 7,8 0,8 K 4,5 1,4 3,2 1,2 L 55,0 5,0 11,0 5,0
Rank-ordered list of projects   31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project NPV Remaining resource requirements Bang-for-buck index Immediate resource requirements Cumulative immediate resource requirements D 42,0 3,8 11,1 2,5 2,5 L 55,0 5,0 11,0 5,0 7,5 B 30,0 3,1 9,7 0,3 7,8 F 43,8 5,0 8,8 1,5 9,3 J 6,2 0,8 7,8 0,8 10,1 E 48,5 7,0 6,9 1,3 11,4 A 52,0 9,5 5,5 3,2 14,6 G 37,5 8,3 4,5 3,8 18,4 C 8,6 2,1 4,1 1,4 19,8 I 9,5 2,5 3,8 0,5 20,3 K 4,5 1,4 3,2 1,2 21,5 H 3,0 1,0 3,0 0,7 22,2
Project expected value (ECV)   31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project PV Probability of technical success Probability of commercial success Development cost* Commercialization cost* ECV A 30,00 0,80 0,50 3,00 5,00 5,00 B 63,75 0,50 0,80 5,00 2,00 19,50 C 9,62 0,75 0,75 2,00 1,00 2,10 D 3,00 1,00 1,00 1,00 0,50 1,50 E 50,00 0,60 0,75 5,00 3,00 15,70 F 66,25 0,50 0,80 10,00 2,00 15,50
Rank-ordered list according to ECV/D, resource constraint 15 mil   31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project ECV ECV/D Cumulative development costs Adjusted cumulative development costs B 19,50 3,90 5,00 5,00 E 15,70 3,14 10,00 10,00 A 5,00 1,67 13,00 13,00 F 15,50 1,55 (23,00)   D 1,50 1,50 24,00 14,00 C 2,10 1,05 26,00 16,00
Rank-ordered list according to ECV   31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project ECV Cumulative development costs B 19,50 5,00 E 15,70 10,00 F 15,50 20,00 A 5,00 23,00 C 2,10 25,00 D 1,50 26,00
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Multi-criteria project valuation input data   31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project IRR NPV SI PTS A 20% 10 5 80% B 15% 2 2 70% C 10% 5 3 90% D 17% 12 2 65% E 12% 20 4 90% F 22% 6 1 85%
Project ranking ,[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Multi-criteria project valuation, final project ranking   31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project IRR * PTS Ranking  by  IPR*PTS NPV * PTS Ranking  by NPV*PTS SI Ranking  by  SI Avg .  Final A 16,0% 2 8 2 5 1 1,67 1 B 10,5% 5 1,4 6 2 4 5,00 6 C 9,0% 6 4,5 5 3 3 4,67 5 D 11,1% 3 7,8 3 2 4 3,33 3 E 10,8% 4 18 1 4 2 2,33 2 F 18,7% 1 5,1 4 1 6 3,67 4
Applicability of financial models  ,[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Scoring models   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Goal 2: Balance   ,[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Risk-Reward bubble diagram   31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB PEARLS OYSTERS BREAD  &  BUTTER WHITE ELEPHANTS
Diagram quadrants ,[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Goal 3: Strategic alignment   ,[object Object],[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Top-down approach   ,[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Technology roadmaps ,[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Strategic buckets   ,[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Bottom-up  and combined approaches   ,[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
References ,[object Object],[object Object],[object Object],[object Object],[object Object],31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB
Lesson 5 Innovation impulses
SOURCES OF INNOVATION IMPULSES   In ternal  environment   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SOURCES OF INNOVATION IMPULSES   External  environment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
MARKET PULL  -  R&D  PUSH ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
7  SOURCES OF INNOVATION IMPULSES   (Drucker) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1.  Unexpected event   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2.  Contradiction   ,[object Object],[object Object],[object Object]
3.  Change of process   ,[object Object],[object Object],[object Object]
4 .  Change in the structure of industry and market   ,[object Object],[object Object],[object Object],[object Object]
5.  Demography  ,[object Object],[object Object]
6 .  Change of attitudes   ,[object Object],[object Object],[object Object],[object Object]
7 .  New knowledge   ,[object Object],[object Object],[object Object],[object Object]
IMPULSES FROM THE MARKET ENVIRONMENT   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
INNOVATION IMPULSES OF THE R&D ,[object Object],[object Object],[object Object],[object Object]
INTERNAL IMPULSES   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Lesson 6 Innovation management tools INNOMAT http://www.inno-pro.com/aainn0.htm
 
General Innovation Tools
BENCHMARKING
BRAINSTORMING
REENGINEERING
CHANGE MANAGEMENT
Specific techniques  useful at the different change management process steps. INNOVATION MANAGEMENT TOOLS http://www. wiley.co.uk/innovate/website/pages/atoz/atoz.htm CHANGE MANAGEMENT STEP SPECIFIC TECHNIQUE Making time time management techniques Preparing a vision statement SWOT analysis Identify what factors will hinder change force field analysis Selling the change internal marketing techniques Developing a plan strategic planning techniques Learning  Monitoring effectiveness 
TECHNOLOGY AUDIT
TECHNOLOGY FORECAST
VALUE ANALYSIS
Product Innovation Tools
DESIGN FOR X                                                                                       <>
„ X“ - examples Design for Manufacturing and Assembly (DFMA)  Design for Environment (DFE)  Design for Dimensional Control (DDC)  Design for Inspectability  Design for Storability  Design for Reliability (DFR)  Design for Electromagnetic Compatibility  Design for Disassembly (DFD)
QUALITY FUNCTION DEPLOYMENT
House of Quality Interrelationships Technical Features Relationship between Customer Desired Traits and Technical Features Importance of Technical Features Importance of Traits to Customer Assessment of Competition Voice of the Customer
House of Quality: Steps for Generation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Managerial Innovation Tools
FAILURE MODE AND EFFECT ANALYSIS (FMEA)
INNOVATION MANAGEMENT TOOLS http://www. wiley.co.uk/innovate/website/pages/atoz/atoz.htm
INNOVATION MANAGEMENT TOOLS http://www. wiley.co.uk/innovate/website/pages/atoz/atoz.htm
PEER EVALUATION
TEAM BUILDING
ISO 9000 ,[object Object],[object Object],[object Object]
TOTAL PRODUCTIVE MAINTENANCE
Process Innovation Tools
DESIGN FOR MANUFACTURING AND ASSEMBLY (DFMA)
LEAN THINKING
CONTINUOUS IMPROVEMENT
CONCURRENT ENGINEERING
JUST IN TIME (JIT)
INNOSKILLS
FASTER
Lesson 7 CREATIVITY BASICS   & TECHNIQUES
Innovation and creativity ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
Quotations on serendipity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
BASIC CONCEPTS ,[object Object],[object Object],[object Object],[object Object],[object Object]
Creativity in organizations ,[object Object],[object Object],[object Object],[object Object],[object Object]
Creativity and economics ,[object Object],[object Object],[object Object],[object Object]
Stages of creative process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Barriers to creativity  - 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Barriers to creativity  - 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Barriers to creativity  - 3 ,[object Object]
CREATIVITY STIMULATION   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Fostering creativity  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
METHODS OF CREATIVE ACTIVITY   ,[object Object],[object Object],[object Object]
Creative Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Brain hemispheres Left brain functions Right brain functions sequential simultaneous analytical holistic verbal imagistic logical intuitive linear algorithmic processing holistical algorithmic processing mathematics: perception of counting/measurement mathematics: perception of shapes/motions present and past present and future language: grammar/words, pattern perception, literal language: intonation/emphasis, prosody, pragmatic, contextual
Convergent vs. divergent thinking ,[object Object],[object Object]
CREATIVITY TECHNIQUES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Trial and error ,[object Object],[object Object],[object Object]
Trial and error  -  features ,[object Object],[object Object],[object Object],[object Object]
Inspirational questions - 1  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inspirational questions - 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inspirational questions - 3 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inspirational questions - 4 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CPS (OFPISA) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Synectics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Synectics - steps ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lateral thinking ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lateral thinking vs. critical thinking  ,[object Object],[object Object],[object Object]
Lateral thinking - inspiration ,[object Object],[object Object],[object Object]
Six de Bono hats   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Example  - meeting ,[object Object],[object Object],[object Object],[object Object],[object Object]
TRIZ, ARIZ ,[object Object],[object Object]
TRIZ process for creative problem solving
Contradictions ,[object Object],[object Object]
Matrix of Contradictions ,[object Object],[object Object],[object Object],[object Object]
 
Morphological analysis ,[object Object],[object Object]
Morphological analysis  - steps ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example  1  - energy conversion initial transmission final storage kinetic –  K kinetic –  K kinetic –  K electrical –  E electrical –  E electrical –  E chemical –  C chemical –  C chemical –  C thermal –  T thermal –  T thermal –  T nuclear -  N nuclear -  N nuclear -  N
Example  1  - continued ,[object Object],[object Object],[object Object]
Example  2  – cardboard packaging solution: throwaway beverage packaging Parameter Parameter  values separated media solid / solid solid / fluid solid / gas fluid / fluid fluid / gas gas / gas level of separation total partial protection against gravitation mechanical forces heat radiation sound combination with paper plastic wood paint nothing
Think outside the box
 
16 dots, 6 lines http://www. sciencenewsforkids . org / articles /20041027/ PuzzleZone . asp
 
Dots and lines - generalization ,[object Object],[object Object],[object Object],[object Object]
Puzzle Archive ,[object Object]
Lesson 8 TEAM WORK
TEAM DEFINITION   ,[object Object],[object Object],[object Object]
TEAM EFFECTIVENESS   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Successful team characteristics   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Unsuccessful team characteristics   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Team  structure and organization   ,[object Object],[object Object]
TEAM  DEVELOPMENT   ,[object Object],[object Object],[object Object],[object Object],[object Object]
ROLES IN THE TEAM   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages and disadvantages of team work   ,[object Object],[object Object],[object Object]
Group cohesion ,[object Object],[object Object]
Team forming by a manager   Manager On the way to rigidity On the way to teamwork Defines  Everything if possible  Vision Prefers  Conformity Individuality, mutuality  Believes in Plan, task, control  Trust, motivation climate  Views the problem solving by the team  As denial of his/ her authority, waste of time  As natural and necessary  Communicates with team members  When they require it or need it  As much as possible  Conflicts inside or outside the team  Ignores them or solves them him- or herself  Opens them for team solving before they become destructive Understands group unity  As a potential threat to his/ her position  As necessity  Anticipates  People’s worries of responsibility  Independence and responsibility of people
Lesson 9 DECISION MAKING
DECISION PROCESS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
REASONS FOR POOR DECISIONS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
MODELS ,[object Object],[object Object],[object Object],[object Object],[object Object]
USE OF MODELS ,[object Object],[object Object],[object Object],[object Object],Be aware of the assumptions and limitations of each model
BENEFITS OF THE USE OF MODELS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
LIMITATIONS OF MODELS ,[object Object],[object Object],[object Object],[object Object]
QUANTITATIVE APPROACHES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
TRADE-OFFS ,[object Object],[object Object],advantages disadvantages Fewer defectives slipping through by increasing inspections Increase in costs
SENSITIVITY ANALYSIS ,[object Object],[object Object],x  = 5 k  =   1 k  =   2  A = kx   +   4000 4005 4010 0,03% B = kx   +   4 9 4 10,87%
THE S Y STEM APPROACH ,[object Object],[object Object],[object Object],[object Object],T he whole is greater than the sum of its individual parts
DECISION ENVIRONMNENTS ,[object Object],[object Object],[object Object]
DECISION THEORY ,[object Object],[object Object],[object Object],[object Object],[object Object]
PAYOFF TABLE Alternatives – facility size Possible future demand low moderate high Small 10 10 10 Medium 7 12 12 Large  -4 2 16
Decision making under certainty ,[object Object],Demand Highest payoff Best alternative Low 10 small Moderate 12 medium High 16 large
Decision making under uncertainty ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Alternative small medium large Payoff 10 7 -4 Alternative small medium large Average payoff 10 10,33 4,67
[object Object],[object Object],[object Object],Alternative regrets worst low moderate high Small 0 2 6 6 Medium 3 0 4 4 Large 14 10 0 14
Decision making under risk ,[object Object],[object Object],Alternative probability EV Small 0,30 10 Medium 0,50 10.5 Large 0,20 3
DECISION TREES
DECISION TREES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DECISION TREES - Example
EXPECTED VALUE  OF PERFECT INFORMATION (EVPI) ,[object Object],[object Object],[object Object],EVPI = expected payoff under certainty -    expected payoff under risk
EVPI  - example ,[object Object],[object Object],Demand Best payoff probability Low 10 0,30 Moderate 12 0,50 High 16 0,20
SENSITIVITY ANALYSIS State of nature Alternative #1 #2 A 4 12 B 16 2 C 12 8
Sensitivity Analysis
LINEAR PROGRAMMING (LP) ,[object Object],[object Object],[object Object],[object Object]
LP - ASSUMPTIONS ,[object Object],[object Object],[object Object],[object Object]
LP –  EXAMPLE  1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
LP – solution 1 decision variables X1 10 X2 5 X3 0 objective function P 90 constraints 1 40 250 2 100 100 3 10 10
LP – Graphical method ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
LP – Graphical method
Lesson 10 CONFLICT RESOLUTION
Conflict management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conflict consequences ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Two-dimensional model of a conflict
Conflict resolution styles - 1 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conflict resolution styles - 2 ,[object Object],[object Object],[object Object]
Lesson 11 COMPANY INNOVATION CULTURE „ Successful companies address the human needs and give them priority“ Thomas J. Peters, Robert H.Waterman
COMPANY CULTURE   ,[object Object],[object Object]
Main elements of the company culture   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
F our types of  company  orientation ,[object Object],[object Object],[object Object],[object Object],[object Object]
MANAGEMENT STYLES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Motivation / performance cycle (MPC)
M otivation  / performance cycle (MPC) ,[object Object],[object Object],[object Object],[object Object]
MPC- continued ,[object Object],[object Object],[object Object],[object Object]
MPC- continued ,[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchy of needs (A. Maslow) ,[object Object]
Innovation management
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Innovation management

  • 1. INNOVATION MANAGEMENT Jiří Vacek vacekj @ kip.zcu.cz Department of Management, Innovations and Projects UWB, Faculty of Economics Summer semester 2009/10
  • 2. Lesson 1 Introduction Basic concepts Importance of innovations
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Classification of innovations SYSTEM New series of cars, planes, computers, TV New generation (MP3 and download as substitution of CD) Steam engine, ICT, biotechnology, nanotechnology COMPONENT Improvement of components New components for existing systems Advanced materials improving component properties INCREMENTAL „ do better what we already do“ „ new for the company“ RADICAL „ new for the world“
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 18.
  • 19. No comment … 1990 2005
  • 20.
  • 21.  
  • 22. Types of design engineers spouter of ideas suggests designs and problem solutions without detailed consideration of all possible results and consequences system designer examines all ideas and thoughts systematically finisher of ideas elaborates independently in details the ideas which he gets to elaborate routine engineer efficient and reliable engineer; however, without creative approach attendance engineer performs routine tasks [1%] [5%] [54%] [30%] [10%]
  • 23. Con nective ti ssue pro ducts RNDr. Vladimír Velebný, CSc . Contipro
  • 24.
  • 26.
  • 27. 3M and post-it notes http://www.3m. com / us / office /postit/ pastpresent / history _ ws . html
  • 28. More about 3M A Century of Innovation The 3M Story http:// solutions .3m. com / wps / portal /3M/en_US/ About /3M/
  • 29.
  • 30.
  • 31.
  • 32. Bang & Olufsen – products
  • 33.
  • 34.
  • 35.
  • 36. Lesson 2 Disruptive and open innovations
  • 37.
  • 38.
  • 39.
  • 40. Clayton M. Christensen: The Innovator´s Solution, Harvard Business Press, 2003
  • 41.
  • 42. Clayton M. Christensen: The Innovator´s Solution, Harvard Business Press, 2003
  • 43. Clayton M. Christensen: The Innovator´s Solution, Harvard Business Press, 2003
  • 44. Clayton M. Christensen: The Innovator´s Solution, Harvard Business Press, 2003
  • 45. Clayton M. Christensen: The Innovator´s Solution, Harvard Business Press, 2003
  • 46.
  • 47.
  • 48.
  • 49.  
  • 50.  
  • 51.  
  • 52.  
  • 53.
  • 54. Chesbrough H.W.: The Era of Open Innovation, MIT Sloan Management Review, Spring 203, p. 35 - 41
  • 55.  
  • 56. Closed innovation Open innovation All the best people are working for us Not all the best people are working for us . We must work with clever people within and outside our company. R & D creates profit only when we invent, develop and market everything ourselves. External R&D can create remarkable value; to employ it, we need absorption capacity, often as internal R&D. If we develop the product ourselves, we will be the first on the market. R & D can create profit even if we do not initialize an d perform it ourselves. Winner is who gets the innovation to the market first. To develop better business model is more important than to be the first in the market. We will win if we develop most of the ideas (an the best of them). We will win if we make best use of intern al and extern al ideas. We must have our intellectual property under control so that our competitors can make advantage of it. We must be able to profit from others using our intellectual property and we must license the intellectual property if it supports our business model.
  • 57. Closed innovation Open innovation Examples : nuclear industry, mainframe computers Examples : PC, movies Mostly intern al ideas Many external ideas Low workforce mobility High workforce mobility Low role of the venture capital Active venture capital Few new businesses, weak ones Many new businesses Universities are not important as the sources of ideas Universities are not important as the sources of ideas and people
  • 58.
  • 59.
  • 60.
  • 61. Interdependent Architecture System Component A Component B Component C
  • 62.
  • 63. Modular Architecture System Component A Component B Component C
  • 64.
  • 65.
  • 66. Lesson 3 Assessment of company innovation potential
  • 67.
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  • 74.
  • 75.  
  • 76.  
  • 77. Lesson 4 STRUCTURING THE NEW PRODUCT DEVELOPMENT PROCESSES EVALUATION OF THE NEW PRODUCT DEVELOPMENT AND R& D PROJECTS HOW TO SELECT THE PORTFOLIO OF NEW PRODUCT DEVELOPMENT PROJECTS
  • 78. STRUCTURING THE NEW PRODUCT DEVELOPMENT PROCESSES
  • 79. The objectives of process models
  • 80.
  • 81. 2-nd generation SG process
  • 82.
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  • 85.
  • 86.
  • 87.
  • 88. Difference Between FFE and NPD Milestone achievement. Strengthened concepts. Measures of Progress Multifunction product and/or process development team minimize risk and optimize potential Activity Predictable, with increasing certainty, analysis, and documentation as the product release date gets closer. Often uncertain, with a great deal of speculation. Revenue Expectations Budgeted. Variable Funding High degree of certainty. Unpredictable or uncertain. Commercialization Date Disciplined and goal-oriented with a project plan. Experimental, often chaotic. “ Eureka” moments. Can schedule work—but not invention. Nature of Work New Product Development (NPD) Fuzzy Front End (FFE)
  • 89. N ew concept development model (NCD) Technology push Market pull
  • 90.
  • 91.
  • 92. Traditional and technology stage-gate processes
  • 93. EVALUATION OF THE NEW PRODUCT DEVELOPMENT AND R& D PROJECTS
  • 94. Stage-gate process IDEA Gate 1 Idea screening Stage 1 Preliminary evaluation Gate 2 Detailed evaluation Stage 2 Product definition Gate 3 Decision to develop Stage 3 Development Gate 4 Decision to test Stage 4 Testing Gate 5 Decision to commercialize Stage 5 Commercialization EVALUATION
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  • 97.
  • 98.
  • 99. Development D ECV YES NO Success p d Failure Commercialization C YES NO Success p C Failure P V ECV = project expected commercial value p d = probability of successful development p c = probability of successful commercialization D = development costs C = commercialization costs PV = net present value of expected project earnings ECV = [(PV * p c – C) * p d ] – D according to [Cooper 2001]
  • 100.
  • 101.
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  • 107.
  • 108.
  • 109.
  • 110. HOW TO SELECT THE PORTFOLIO OF NEW PRODUCT DEVELOPMENT PROJECTS
  • 111.
  • 112.
  • 113. 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB A reluctance to kill projects. Many projects added to the list A total lack of focus Too many projects – resources thinly spread. Projects in the queue. Quality of execution suffers. Increased time to market Higher failure rates Weak decision points (broad gates) Poor Go/Kill decisions Too many low value projects Good projects are starved Too few stellar product winners Many ho hum launches No rigorous selection criteria Project selected on emotion, politics W r ong projects are selected Many failures No strategic criteria for project selection Projects lack strategic direction Projects not strategically aligned Scatter gun effort Does not support strategy No portfolio management means … Immediate result End result: poor new product performance
  • 114.
  • 115.
  • 116. 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Projects net present values and resource requirements Project NPV Remaining resource requirements Bang-for-buck index Immediate resource requirements A 52,0 9,5 5,5 3,2 B 30,0 3,1 9,7 0,3 C 8,6 2,1 4,1 1,4 D 42,0 3,8 11,1 2,5 E 48,5 7,0 6,9 1,3 F 43,8 5,0 8,8 1,5 G 37,5 8,3 4,5 3,8 H 3,0 1,0 3,0 0,7 I 9,5 2,5 3,8 0,5 J 6,2 0,8 7,8 0,8 K 4,5 1,4 3,2 1,2 L 55,0 5,0 11,0 5,0
  • 117. Rank-ordered list of projects 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project NPV Remaining resource requirements Bang-for-buck index Immediate resource requirements Cumulative immediate resource requirements D 42,0 3,8 11,1 2,5 2,5 L 55,0 5,0 11,0 5,0 7,5 B 30,0 3,1 9,7 0,3 7,8 F 43,8 5,0 8,8 1,5 9,3 J 6,2 0,8 7,8 0,8 10,1 E 48,5 7,0 6,9 1,3 11,4 A 52,0 9,5 5,5 3,2 14,6 G 37,5 8,3 4,5 3,8 18,4 C 8,6 2,1 4,1 1,4 19,8 I 9,5 2,5 3,8 0,5 20,3 K 4,5 1,4 3,2 1,2 21,5 H 3,0 1,0 3,0 0,7 22,2
  • 118. Project expected value (ECV) 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project PV Probability of technical success Probability of commercial success Development cost* Commercialization cost* ECV A 30,00 0,80 0,50 3,00 5,00 5,00 B 63,75 0,50 0,80 5,00 2,00 19,50 C 9,62 0,75 0,75 2,00 1,00 2,10 D 3,00 1,00 1,00 1,00 0,50 1,50 E 50,00 0,60 0,75 5,00 3,00 15,70 F 66,25 0,50 0,80 10,00 2,00 15,50
  • 119. Rank-ordered list according to ECV/D, resource constraint 15 mil 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project ECV ECV/D Cumulative development costs Adjusted cumulative development costs B 19,50 3,90 5,00 5,00 E 15,70 3,14 10,00 10,00 A 5,00 1,67 13,00 13,00 F 15,50 1,55 (23,00)   D 1,50 1,50 24,00 14,00 C 2,10 1,05 26,00 16,00
  • 120. Rank-ordered list according to ECV 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project ECV Cumulative development costs B 19,50 5,00 E 15,70 10,00 F 15,50 20,00 A 5,00 23,00 C 2,10 25,00 D 1,50 26,00
  • 121.
  • 122. Multi-criteria project valuation input data 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project IRR NPV SI PTS A 20% 10 5 80% B 15% 2 2 70% C 10% 5 3 90% D 17% 12 2 65% E 12% 20 4 90% F 22% 6 1 85%
  • 123.
  • 124. Multi-criteria project valuation, final project ranking 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB Project IRR * PTS Ranking by IPR*PTS NPV * PTS Ranking by NPV*PTS SI Ranking by SI Avg . Final A 16,0% 2 8 2 5 1 1,67 1 B 10,5% 5 1,4 6 2 4 5,00 6 C 9,0% 6 4,5 5 3 3 4,67 5 D 11,1% 3 7,8 3 2 4 3,33 3 E 10,8% 4 18 1 4 2 2,33 2 F 18,7% 1 5,1 4 1 6 3,67 4
  • 125.
  • 126.
  • 127.
  • 128. Risk-Reward bubble diagram 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB PEARLS OYSTERS BREAD & BUTTER WHITE ELEPHANTS
  • 129.
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  • 134.
  • 135.
  • 136. Lesson 5 Innovation impulses
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  • 149.
  • 150.
  • 151. Lesson 6 Innovation management tools INNOMAT http://www.inno-pro.com/aainn0.htm
  • 152.  
  • 158. Specific techniques useful at the different change management process steps. INNOVATION MANAGEMENT TOOLS http://www. wiley.co.uk/innovate/website/pages/atoz/atoz.htm CHANGE MANAGEMENT STEP SPECIFIC TECHNIQUE Making time time management techniques Preparing a vision statement SWOT analysis Identify what factors will hinder change force field analysis Selling the change internal marketing techniques Developing a plan strategic planning techniques Learning  Monitoring effectiveness 
  • 163. DESIGN FOR X                                                                                       <>
  • 164. „ X“ - examples Design for Manufacturing and Assembly (DFMA) Design for Environment (DFE) Design for Dimensional Control (DDC) Design for Inspectability Design for Storability Design for Reliability (DFR) Design for Electromagnetic Compatibility Design for Disassembly (DFD)
  • 166. House of Quality Interrelationships Technical Features Relationship between Customer Desired Traits and Technical Features Importance of Technical Features Importance of Traits to Customer Assessment of Competition Voice of the Customer
  • 167.
  • 169. FAILURE MODE AND EFFECT ANALYSIS (FMEA)
  • 170. INNOVATION MANAGEMENT TOOLS http://www. wiley.co.uk/innovate/website/pages/atoz/atoz.htm
  • 171. INNOVATION MANAGEMENT TOOLS http://www. wiley.co.uk/innovate/website/pages/atoz/atoz.htm
  • 174.
  • 177. DESIGN FOR MANUFACTURING AND ASSEMBLY (DFMA)
  • 181. JUST IN TIME (JIT)
  • 183. FASTER
  • 184. Lesson 7 CREATIVITY BASICS & TECHNIQUES
  • 185.
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  • 199.
  • 200. Brain hemispheres Left brain functions Right brain functions sequential simultaneous analytical holistic verbal imagistic logical intuitive linear algorithmic processing holistical algorithmic processing mathematics: perception of counting/measurement mathematics: perception of shapes/motions present and past present and future language: grammar/words, pattern perception, literal language: intonation/emphasis, prosody, pragmatic, contextual
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  • 216.  
  • 217.
  • 218.
  • 219. TRIZ process for creative problem solving
  • 220.
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  • 223.
  • 224.
  • 225. Example 1 - energy conversion initial transmission final storage kinetic – K kinetic – K kinetic – K electrical – E electrical – E electrical – E chemical – C chemical – C chemical – C thermal – T thermal – T thermal – T nuclear - N nuclear - N nuclear - N
  • 226.
  • 227. Example 2 – cardboard packaging solution: throwaway beverage packaging Parameter Parameter values separated media solid / solid solid / fluid solid / gas fluid / fluid fluid / gas gas / gas level of separation total partial protection against gravitation mechanical forces heat radiation sound combination with paper plastic wood paint nothing
  • 229.  
  • 230. 16 dots, 6 lines http://www. sciencenewsforkids . org / articles /20041027/ PuzzleZone . asp
  • 231.  
  • 232.
  • 233.
  • 234. Lesson 8 TEAM WORK
  • 235.
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  • 243.
  • 244. Team forming by a manager Manager On the way to rigidity On the way to teamwork Defines Everything if possible Vision Prefers Conformity Individuality, mutuality Believes in Plan, task, control Trust, motivation climate Views the problem solving by the team As denial of his/ her authority, waste of time As natural and necessary Communicates with team members When they require it or need it As much as possible Conflicts inside or outside the team Ignores them or solves them him- or herself Opens them for team solving before they become destructive Understands group unity As a potential threat to his/ her position As necessity Anticipates People’s worries of responsibility Independence and responsibility of people
  • 245. Lesson 9 DECISION MAKING
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  • 258. PAYOFF TABLE Alternatives – facility size Possible future demand low moderate high Small 10 10 10 Medium 7 12 12 Large -4 2 16
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  • 266. DECISION TREES - Example
  • 267.
  • 268.
  • 269. SENSITIVITY ANALYSIS State of nature Alternative #1 #2 A 4 12 B 16 2 C 12 8
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  • 274. LP – solution 1 decision variables X1 10 X2 5 X3 0 objective function P 90 constraints 1 40 250 2 100 100 3 10 10
  • 275.
  • 276. LP – Graphical method
  • 277. Lesson 10 CONFLICT RESOLUTION
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  • 282.
  • 283. Lesson 11 COMPANY INNOVATION CULTURE „ Successful companies address the human needs and give them priority“ Thomas J. Peters, Robert H.Waterman
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  • 288. Motivation / performance cycle (MPC)
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Notas do Editor

  1. Belbin