TRIZ – The Theory of Inventive Problem Solving (eBook)

Current Research and Trends in French Academic Institutions

Denis Cavallucci (Herausgeber)

eBook Download: PDF

2017 | 1st ed. 2017
284 Seiten
Springer International Publishing (Verlag)
978-3-319-56593-4 (ISBN)

Infos

The work presented here is generally intended for engineers, educators at all levels, industrialists, managers, researchers and political representatives. Offering a snapshot of various types of research conducted within the field of TRIZ in France, it represents a unique resource.

​It has been two decades since the TRIZ theory originating in Russia spread across the world. Every continent adopted it in a different manner - sometimes by glorifying its potential and its perspectives (the American way); sometimes by viewing it with mistrust and suspicion (the European way); and sometimes by adopting it as-is, without questioning it further (the Asian way). However, none of these models of adoption truly succeeded.
Today, an assessment of TRIZ practices in education, industry and research is necessary. TRIZ has expanded to many different scientific disciplines and has allowed young researchers to reexamine the state of research in their field. To this end, a call was sent out to all known francophone research laboratories producing regular research about TRIZ. Eleven of them agreed to send one or more of their postdoctoral researchers to present their work during a seminar, regardless of the maturity or completeness of their efforts. It was followed by this book project, presenting one chapter for every current thesis in order to reveal the breadth, the richness and the perspectives that research about the TRIZ theory could offer our society. The topics dealt with e.g. the development of new methods inspired by TRIZ, educational practices, and measuring team impact.

Denis Cavallucci is Full Professor in Engineering of Innovation at the National Institute of Applied Science in Strasbourg, France. He is the head of the research team CSIP/DISIP (Design, Information Systems and Inventive Processes) which investigates theories, methods, and tools for formalizing inventive activities within industrial organizations. Denis Cavallucci is co-founder and past president of the European TRIZ Association ETRIA. Among his current research goals is to integrate artificial intelligence into design activities to systematize inventive processes.

Inhalt

Preface 5
Contents 12
Chapter 1: Finding Innovative Technical Solutions in Patents Through Improved Evolution Trends 14
1.1 Introduction 14
1.2 State of the Art: Anticipating the Evolution of Technical Systems 15
1.2.1 Altshuller´s Evolution Laws 16
1.2.2 Polovinkin´s Rules 17
1.2.3 Design Heuristics 20
1.2.4 Patent Exploitation Through the Evolution Laws of Technical Systems 22
1.2.4.1 Patent Classification According to the TRIZ Inventive Principles 24
1.2.4.2 Applying TRIZ Trends for Technology Transfer and Technology Forecasting 25
1.3 Selecting, Analyzing, and Classifying Pertinent Patents for Patent Exploitation 26
1.3.1 General Description of the IMC Problem-Solving Methodology 27
1.3.2 Formatting Patents for Exploitation: Discovery Matrix and the Timeline Classification 29
1.4 A Proposition of Evolution Trends 30
1.4.1 Rules of the Art of Engineering (Engineering Best Practices) 31
1.4.2 Introduction of the Eight Cards of Evolution Trends 32
1.5 Application Case: Deep Offshore Biphasic Separator 37
1.5.1 Context of the Problem 37
1.5.2 Structuring the Discovery Matrix and the Timeline Classification 38
1.5.2.1 Discovery Matrix Columns and Lines Structure 38
1.5.2.2 Discovery Matrix Timeline Classification 38
1.5.3 Exploiting the Discovery Matrix by Means of Evolution Trends 40
1.5.3.1 Analysis of Helical Systems (Branch 1) 43
1.5.3.2 Analysis of Plate Systems (Branch 3) 45
1.5.3.3 Analysis of Hybrid Systems (Branch 4) 48
1.5.4 Innovation Through the First Findings 51
1.5.4.1 Incremental Innovation: A Hybrid Solution 51
1.5.4.2 Breakthrough Innovation: Future Ideas 52
1.6 Conclusion and Discussion 53
References 53
Chapter 2: Automated Extraction of Knowledge Useful to Populate Inventive Design Ontology from Patents 56
2.1 Introduction 56
2.2 The Target Description 58
2.2.1 TRIZ and IDM Knowledge Model 58
2.2.2 IDM and Its Knowledge Model 59
2.2.2.1 The Inventive Design Method 59
2.2.2.2 IDM Ontology 59
2.2.3 The Nature of Patent Documents 60
2.3 An Overview of Patent Mining Tools 61
2.4 The Proposed Methodology 61
2.4.1 The Implementation 62
2.4.2 The Linguistic Analysis 63
2.4.3 The Linguistic Marker Selection 65
2.5 Results and Discussion 68
2.5.1 Precision and Recall 68
2.6 Discussions 72
2.7 Conclusion and Perspectives 73
References 74
Chapter 3: Modelling Industrial Design Contribution to Innovative Product or Service Design Process in a Highly Constrained En... 76
3.1 Introduction 77
3.2 Process Modelling 78
3.2.1 Design Playground 79
3.2.2 Design Process 81
3.2.3 Literature Model 88
3.3 Model Experiments 90
3.3.1 Toward an Experimental Design Model 90
3.3.2 The Uniklic Design Case 92
3.4 Benefits 93
References 95
Chapter 4: Teaching Competence for Organising Problem-Centred Teaching-Learning Process 97
4.1 Defining Problem-Centred Education 97
4.1.1 Educational Context and Problem-Centred Education 97
4.1.2 TRIZ-Based Educational Movements and Problem-Centred Education 100
4.1.3 Aims, Definition, Content and Instruction of Problem-Centred Education 101
4.1.3.1 Aims and Definition 101
4.1.3.2 Content 103
4.1.3.3 Instruction 105
4.2 The Study of Teaching Competence for Problem-Centred Education 107
4.2.1 Teacher Competence and Teaching Competence 107
4.2.2 The Study of a Teacher in Action Organising a Problem-Centred Teaching-Learning Process 108
4.2.2.1 Study Problem and Aim 108
4.2.2.2 Research Base 108
4.2.2.3 Data Collection Method 108
4.2.2.4 Data Selection Logic 108
4.2.2.5 Data Analysis Method 109
4.2.2.6 Procedure of the Study 109
4.2.2.7 Results and Discussion 110
4.2.2.8 Conclusions 112
References 113
Chapter 5: Problem Graph for Warehousing Design 117
5.1 Introduction 117
5.2 Literature Review 118
5.3 The Reference Model 119
5.3.1 Stage 1: Select 120
5.3.2 Stage 2: Interview 122
5.3.3 Stage 3: Standardize 122
5.3.4 Stage 4: Put Into Operation 125
5.4 Example of Application 127
5.4.1 Experiment 1: Without the Reference Model 128
5.4.2 Experiment 2: With the Reference Model 128
5.4.3 Comparison of Experiments 1 and 2 128
5.5 Conclusion and Perspective 129
Appendix 1: Problems and Performance Metrics Extract 130
Appendix 2: Solutions and Action Parameters Extract 130
Appendix 3: Problems Generate Problems Extract 131
Appendix 4: Problems Solved by Solutions Extract 132
Appendix 5: Solutions Generate Problems Extract 133
Appendix 6: Taxonomy Extract, Protégé Screenshot 134
References 134
Chapter 6: Key Indicators of Inventive Performance for Characterizing Design Activities in RandDs: Application in Technologica... 141
6.1 Introduction 141
6.2 In Search of Inventive Activities 142
6.3 Essential Elements of a Measurement System 143
6.4 Appropriate Level for the Analysis 145
6.5 Design Activities 147
6.5.1 Processing 147
6.5.2 Importation and Exportation 148
6.5.3 Entitling 149
6.5.4 Support 149
6.6 Inventive Performance 150
6.6.1 Inventive Effectiveness 150
6.6.2 Inventive Efficiency 155
6.6.3 Inventive Pertinence 157
6.7 Conclusion 158
References 159
Chapter 7: Optimization Methods for Inventive Design 162
7.1 Introduction 162
7.2 Background 164
7.2.1 From Optimization to Invention 164
7.2.2 The Dialectical Approach and Contradiction 165
7.2.3 The Representation Model of Contradiction for Optimization and Invention 170
7.3 Research Issues and Research Method 173
7.3.1 Research Problem 173
7.3.2 Research Method 175
7.4 Results 176
7.4.1 Extraction of Generalized Technical Contradiction 177
7.4.2 Extraction of Generalized Physical Contradiction 178
7.4.3 Identification of Parameters Involved in Physical Contradictions 179
7.4.4 Process of Model Change Using Three Algorithms 181
7.5 Illustration 183
7.5.1 Problem Formulation and Simulation 183
7.5.2 Optimization and Solution Filter 185
7.5.3 Model Change 185
7.5.3.1 GTC Extraction and Selection 185
7.5.3.2 EP-Based GPC Extraction 186
GTC Extraction and GPC Extraction 186
7.5.3.3 Inventive Problem Solving by Using TRIZ 187
7.5.3.4 System Evolution from a Partial Solution 190
7.6 Discussion and Prospective 191
7.7 Conclusion 193
References 194
Chapter 8: Contribution to Formalizing Links Between Invention and Optimization in the Inventive Design Method 197
8.1 Introduction 197
8.2 Technical Background 199
8.2.1 Synergy of TRIZ with Other Design Methods/Tools 199
8.2.2 Initial Situation Analysis and Contradiction Formulation in Inventive Design 199
8.2.3 Discussion and Motivation 201
8.3 Enhancement of the Problem Formulation in the IDM Perspective 203
8.3.1 System Completeness of TRIZ from the Viewpoint of the Simulation-Based Design Approach 203
8.3.2 Development of the Sim-TRIZ Contradiction System Model 205
8.3.3 Development of the Approach 206
8.4 Case Example 1: Redesign of a Mini USB-Fridge 209
8.4.1 General Context of Mini USB-Fridge 209
8.4.2 Application of Proposed Approach 210
8.5 Case Example 2: Redesign of a Solenoid Actuator 213
8.5.1 Context of the Design Project 213
8.5.2 Application of Proposed Approach 213
8.6 Conclusion and Future Work 217
References 218
Chapter 9: Collaboration Framework for TRIZ-Based Open Computer-Aided Innovation 220
9.1 Introduction 221
9.1.1 Industrial Context 221
9.1.2 From Closed to Open Innovation 222
9.2 Computer-Aided Innovation and TRIZ 223
9.2.1 Web 2.0 as a Platform for Collaboration 225
9.2.2 TRIZ-Based Inventive Problem Resolution 227
9.2.3 Academic Developments 227
9.3 Architecture for TRIZ-Based Collaborative Open CAI 230
9.3.1 Overview 230
9.3.2 Framework Architecture 233
9.3.2.1 Innovation Process 233
9.3.2.2 Collaborative Resolution Process 234
9.3.2.3 Implications of Collective Intelligence 235
9.3.3 Techniques for User-Generated Content 236
9.4 Application Scenario 236
9.4.1 Problem Analysis and Formulation 236
9.4.2 Solution Selection 238
9.5 Trends and Future Research 241
9.5.1 Ontology-Based CAI 241
9.5.2 Avatar-Based Innovation 242
9.6 Conclusion 242
References 244
Chapter 10: System Dynamics Modeling and TRIZ: A Practical Approach for Inventive Problem Solving 246
10.1 Introduction 247
10.2 The Theory of Inventive Problem Solving: Opportunities and Advantages 248
10.3 The System Dynamics Modeling and Simulation 251
10.3.1 The Causal Loop Diagram and the Flow and Stock Diagram 251
10.3.2 The System Dynamics Methodology 253
10.3.3 SD Advantages/Benefits and Limitations 254
10.4 A Combined Solving Process: TRIZ + SD 255
10.4.1 Related Work 256
10.4.2 Methodological Approach 258
10.5 Case Study 259
10.6 Discussion 263
10.7 Conclusion and Future Work 267
References 268
Chapter 11: Conceptual Framework of an Intelligent System to Support Creative Workshops 270
11.1 Introduction 270
11.2 Evolution of Innovation and Creative Practices 272
11.2.1 Creativity from Innovation 272
11.2.2 Creative Techniques and Tools 274
11.2.2.1 Creative Techniques 274
11.2.2.2 Open Innovation Changes Creative Practices 275
11.3 Current Challenges of Creative Workshops 276
11.3.1 The Basis of a Creative Workshop 277
11.3.2 Creative Workshop Issues 279
11.3.3 Assisting a Creative Workshop with Digital Systems 281
11.4 The Prospect of a Creative Support System for a Creative Workshop 282
11.4.1 A State of the Art of Current Creative Support System 282
11.4.2 Multi-Agent System for Creative Workshops 284
11.4.3 Creative Workshop Management Ontology 285
11.4.4 Idea Evaluation Assisted by Agent 286
11.4.5 Non-Investigated Specifications 288
11.5 Conclusion 288
References 289

Produkt-Details

• Erscheint lt. Verlag: 25.7.2017
• Zusatzinfo: XIV, 284 p. 144 illus., 63 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Software Entwicklung
• Themenwelt: Technik
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Schlagworte: Design engineering • Innovation Strategies • Problem solving strategies • Theory of Inventive Problem Solving • TIPS • TRIZ
• ISBN-10: 3-319-56593-1 / 3319565931
• ISBN-13: 978-3-319-56593-4 / 9783319565934