Getting it right R&D methods for science and engineering
Over the past decade, the author has met with directors of R&D departments in large industrial firms, who are frustrated by the lack of coherent and consistent methodologies in R&D projects. As a direct result the author was asked to design and present a seminar to provide R&D engineers...
| Κύριος συγγραφέας: | |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλεκτρονική πηγή Βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
San Diego
Academic Press
c2001
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| Θέματα: | |
| Διαθέσιμο Online: | An electronic book accessible through the World Wide Web; click for information An electronic book accessible through the World Wide Web; click for information Publisher description Table of contents |
Πίνακας περιεχομένων:
- Acknowledgements
- Foreword (Fridolin Piwonka)
- Part IIntroduction
- Research and Development
- Process and Preparation
- Part IIProject Organization
- The Project Hierarchy
- The Project Task
- Part III Knowledge Representation
- An Epistemological Journey
- Categories and Types of Knowledge
- Roles of Knowledge Propositions
- Limits of Knowledge
- Part IVThe Scientific Method
- Overview
- Analysis
- Hypothesis
- Synthesis
- Validation
- Appendices
- Bibliography
- Glossary
- Tips
- Summaries and Guidelines
- Sample Milestone Charts
- Machine generated contents note: Chapter 1 Research and Development
- 1.1 Motivation 3
- 1.2 Background 7
- 1.3 R&D Problems 8
- 1.4 Primary Objective 12
- Chapter 2 Process and Preparation
- 2.1 The Methodology 13
- 2.2 Tools and Resources 15
- Part II Project Organization
- Chapter 3 The Project Hierarchy
- 3.1 Bottoms Up 21
- 3.2 Top-Down Project Planning 22
- Chapter 4 The Project Task
- 4.1 Task Domain 36
- 4.1.1 Task Objective 36
- 4.1.2 Task Unit 37
- 4.1.3 Task Resources 40
- 4.1.3.1 Inducers 41
- 4.1.3.2 Sensors 42
- 4.1.3.3 Supervisor 55
- 4.1.3.4 Channels 57
- 4.1.3.5 Knowledge 61
- 4.2 Task Method 63
- 4.3 Task Range 67
- Part III Knowledge Representation
- Chapter 5 An Epistemological Journey 71
- Chapter 6 Categories and Types of Knowledge 77
- 6.1 Speculative Knowledge 78
- 6.2 Presumptive Knowledge 78
- 6.3 Stipulative Knowledge 85
- 6.4 Conclusive Knowledge 88
- Chapter 7 Roles of Knowledge Propositions 93
- 7.1 Governing Propositions 94
- 7.2 Factors 100
- 7.3 Range Knowledge 103
- Chapter 8 Limits of Knowledge 109
- 8.1 Accuracy and Error 113
- 8.2 Uncertainty 119
- 8.2.1 Parametric Estimates of Uncertainty 120
- 8.2.2 Geometric Estimates of the Uncertainty of Measurements 129
- 8.2.3 Propagation of Uncertainty 142
- 8.3 Precision 146
- 8.3.1 Ascertaining the Precision Limit 149
- 8.3.2 Setting the Precision of Results and Conclusions 152
- 8.4 Knowledge, Truth, and Humility 156
- Part IV The Scientific Method
- Chapter 9 Overview
- 9.1 History of the Scientific Method 161
- 9.2 The Modern Scientific Method 166
- 9.2.1 Iterative Execution 169
- 9.2.2 Recursive Execution 173
- Chapter 10 Analysis
- 10.1 Describe Problem 183
- 10.2 Set Performance Criteria 187
- 10.3 Investigate Related Work 191
- 10.4 State Objective 193
- Chapter 11 Hypothesis
- 11.1 Specify Solution 200
- 11.2 Set Goals 202
- 11.3 Define Factors 211
- 11.4 Postulate Performance Metrics 215
- Chapter 12 Synthesis
- 12.1 Implement Solution 220
- 12.2 Design Experiments 227
- 12.2.1 Experiment Laboratory 232
- 12.2.2 Block Design 238
- 12.2.3 Data Management 264
- 12.3 Conduct Experiments 274
- 12.4 Reduce Results 274
- Chapter 13 Validation
- 13.1 Compute Performance 280
- 13.2 Draw Conclusions 291
- 13.3 Prepare Documentation 299
- 13.3.1 Primary Project Documentation 303
- 13.3.2 Secondary Project Documentation 315
- 13.3 Solicit Peer Review 323
- Appendices
- A. Bibliography 331
- B. Glossary 335
- C. Tips 343
- D. Summaries and Guidelines 347
- E. Case-Study Figures and Tables 365
- F. Sample Experiment Protocol 387
- G. An Algorithmfor Discovery 393
- Index 395
