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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
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“
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
54. Chesbrough H.W.: The Era of Open Innovation, MIT Sloan Management Review, Spring 203, p. 35 - 41
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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
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
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
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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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]
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110. HOW TO SELECT THE PORTFOLIO OF NEW PRODUCT DEVELOPMENT PROJECTS
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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
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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
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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%
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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
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128. Risk-Reward bubble diagram 31.10.-1.11.2008 AEDS 2008 - Jiří Vacek, KIP FEK UWB PEARLS OYSTERS BREAD & BUTTER WHITE ELEPHANTS
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
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
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
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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
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