Delphi TRIZ Workshop The International TRIZ Association (MATRIZ) Sergei Ikovenko, Dr-Eng, PhD, TRIZ Master, professor (MIT)

Transcription

1 Delphi TRIZ Workshop The International TRIZ Association (MATRIZ) Sergei Ikovenko, Dr-Eng, PhD, TRIZ Master, professor (MIT)

2 The Innovation Challenge 10,000 Innovation is cumbersome 3,000 Raw Ideas (Unwritten) Number of Ideas Ideas Submitted 125 Small Projects Early Stage Development Major Development 1.7 Launches 1 Success Stage of New Product Development Process Source: G. Stevens and J. Burley, 3,000 Raw Ideas = 1 Commercial Success! Research Technology Management, 40(3): 16-27, May-June,

3 Typical Innovation Process Problem Innovation Process Solution 3

4 Traditional Science of Innovation Step 1: Generate ideas Step 2: Filter ideas 4

5 The Existing Innovation Process Is Inefficient Value = 5

6 Ideal Efficiency Ideal Value = = 1 6

7 TRIZ Paradigm Eliminate Categories of Ineffective Solutions So You Don t Have to Work to Find Them Field of potential solutions Solutions Filters = Trends of Engineering Systems Evolution 7

8 Exact Science of Innovation Value = 8

9 Innovation Killers 1. Project Constraints 2. Psychological Inertia Innovation Killers are everywhere 3. Limited Breadth of Knowledge and Information Overload 4. Giving up and/or compromising too easily 5. Not-Invented-Here Syndrome 6. Unable to Forecast the Future 7. Solving the Wrong Problem 9

10 Psychological Inertia Human Limitations: Hardening of the mental arteries Level of Creative Imagination T.Ribot Curve Age 10

11 Psychological Inertia

12 Innovation Killers 1. Project Constraints 2. Psychological Inertia Innovation Killers are everywhere 3. Limited Breadth of Knowledge and Information Overload 4. Giving up and/or compromising too easily 5. Not-Invented-Here Syndrome 6. Unable to Forecast the Future 7. Solving the Wrong Problem 12

13 Innovation Killer 3: Limited Breadth of Knowledge There are a few unlikely ways to deal with this problem There is too much technical information to wade through There are too many business variables to get a grip on It s impossible to know what customers really want 13

14 Innovation Killers 1. Project Constraints 2. Psychological Inertia Innovation Killers are everywhere 3. Limited Breadth of Knowledge and Information Overload 4. Giving up and/or compromising too easily 5. Not-Invented-Here Syndrome 6. Unable to Forecast the Future 7. Solving the Wrong Problem 14

15 Innovation Killers 1. Project Constraints 2. Psychological Inertia Innovation Killers are everywhere 3. Limited Breadth of Knowledge and Information Overload 4. Giving up and/or compromising too easily 5. Not-Invented-Here Syndrome 6. Unable to Forecast the Future 7. Solving the Wrong Problem 15

16 Innovation Killer 4: Compromising Too Easily We stop at the first good idea We don t accept and deal with contradictions, we trade off We tend to focus on cost instead of value We shelve instead of solve 16

17 Innovation Killers 1. Project Constraints 2. Psychological Inertia Innovation Killers are everywhere 3. Limited Breadth of Knowledge and Information Overload 4. Giving up and/or compromising too easily 5. Not-Invented-Here Syndrome 6. Unable to Forecast the Future 7. Solving the Wrong Problem 17

18 Innovation Killer 6: Inability to Forecast the Future Can t predict how my product will evolve Can t predict how the market will develop Can t predict how my value chain will change Can t predict the business impact of my innovation Can t predict the risk exposure with my innovation 18

19 Innovation Killers 1. Project Constraints 2. Psychological Inertia Innovation Killers are everywhere 3. Limited Breadth of Knowledge and Information Overload 4. Giving up and/or compromising too easily 5. Not-Invented-Here Syndrome 6. Unable to Forecast the Future 7. Solving the Wrong Problem 19

20 Evolution of Science of Innovation How to deliver significant movement along the product s MPV? How to find a practical solution to the right problem correctly? How to solve the problem correctly? Resolving Contradictions ARIZ TESE Standard Inventive Solutions How to solve the right problem correctly? Functional Modeling Trimming Feature Transfer Cause-and-Effect Chain Analysis Function-Oriented Search S-Curve, enhanced Substantiation Tools IP Evaluation Parallel Evolutionary Lines MPV Analysis Innovation Roadmaps Business Impact Justification MT/Trends of Engineering Systems Evolution Synergy Index TRIZ 1960 Innovative Today Technology of Design TRIZplus GEN3 TRIZ 20

21 Parameter you want to improve Engineering Contradictions and Altshuller s Matrix The goal of applying engineering contradictions and Altshuller s Matrix is to solve Key Problems Parameter that gets degraded Segmentation 26 Copying 27 Cheap Short Lifetime 40 Composites Inventive Principles 21

22 Trends of Engineering System Evolution Trend of Increasing Dynamization: As an Engineering System evolves, it and its components become more dynamic. Monolith Joint Multi-joint Elastic Powder Liquid Gas Field Simple Ruler Folding Ruler Measuring Tape Laser Ruler 22

23 Dynamicity Trends of Engineering System Evolution Trend of Increasing Dynamicity Magnetic field bearing Bearing-less system Fluid dynamic bearing Gas/air bearing? Mechanical bearing Past Present Time 23

24 Trends of Engineering System Evolution Trend of Increasing Dynamization. Example: Sleeping accommodations Bed Folding camp bed Hammock Inflatable bed

25 G. Altshuller, Inventor of TRIZ Revolutionary approach: to analyze a technology instead of a thinking process Revolutionary result: trends of engineering system evolution are discovered 25

26 Evolution of Science of Innovation How to deliver significant movement along the product s MPV? How to find a practical solution to the right problem correctly? How to solve the problem correctly? Resolving Contradictions ARIZ TESE Standard Inventive Solutions How to solve the right problem correctly? Functional Modeling Trimming Feature Transfer Cause-and-Effect Chain Analysis Function-Oriented Search S-Curve, enhanced Substantiation Tools IP Evaluation Parallel Evolutionary Lines MPV Analysis Innovation Roadmaps Business Impact Justification MT/Trends of Engineering Systems Evolution Synergy Index TRIZ 1960 Innovative Today Technology of Design TRIZplus GEN3 TRIZ 26

27 Function Cost Diagram ΣF Target domain Cost reduction V= F/C Trimming Functionality improvement ΣC 27

28 Evolution of Science of Innovation How to deliver significant movement along the product s MPV? How to find a practical solution to the right problem correctly? How to solve the problem correctly? Resolving Contradictions ARIZ TESE Standard Inventive Solutions How to solve the right problem correctly? Functional Modeling Trimming Feature Transfer Cause-and-Effect Chain Analysis Function-Oriented Search S-Curve, enhanced Substantiation Tools IP Evaluation Parallel Evolutionary Lines MPV Analysis Innovation Roadmaps Business Impact Justification MT/Trends of Engineering Systems Evolution Synergy Index TRIZ 1960 Innovative Today Technology of Design TRIZplus GEN3 TRIZ 28

29 Function Language as an Interdisciplinary Esperanto Wafer etching Fossil restoration Function: To remove particles Teeth cleaning Diamond facing 29

30 Innovation Killer: Limited Breadth of Knowledge How many ways can you move a liquid? Acoustic Cavitation Acoustic Vibrations Archimedes Principle Bernoulli s Theorem Boiling Brush Constructions Capillary Condensation Capillary Evaporation Capillary Pressure Coanda Effect Condensation Coulomb s Law Deformation Electrocapillary Effect Electroosmosis Electrophoresis Electrostatic Induction Ellipse Evaporation Ferromagnetism Forced Oscillations Funnel Effect Inertia Ionic Exchange Jet Flow Lorentz Force Magnetostriction Mechanocaloric Effect Osmosis Pascal s Law Pump Resonance Shock Wave Spiral Super Thermal Conductivity Superfluidity Surface Tension Thermal Expansion of Subst. Thermocapillary Effect Thermomechanical Effect Ultrasonic Capillary Effect Ultrasonic Vibrations Use of foam Wetting 30

31 Evolution of Science of Innovation How to deliver significant movement along the product s MPV? How to find a practical solution to the right problem correctly? How to solve the problem correctly? Resolving Contradictions ARIZ TESE Standard Inventive Solutions How to solve the right problem correctly? Functional Modeling Trimming Feature Transfer Cause-and-Effect Chain Analysis Function-Oriented Search S-Curve, enhanced Substantiation Tools IP Evaluation Parallel Evolutionary Lines MPV Analysis Innovation Roadmaps Business Impact Justification MT/Trends of Engineering Systems Evolution Synergy Index TRIZ 1960 Innovative Today Technology of Design TRIZplus GEN3 TRIZ 31

32 Different projects are supported with different sets of tools 32

33 Some Companies That Use TRIZ Automotive Medical Technology Aerospace Petroleum Consumer Goods Optics and telecom Electricity/ Electronics More 33

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36 TRIZ IP Value

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39 TRIZ IP Value

40 Faster, more effective and more predictable innovation TRIZ-Based Approach Provides a Faster and Shorter Way to Innovative Ideas 40