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...
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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 |
LEADER | 07039nam a2200409 u 4500 | ||
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001 | 10074834 | ||
003 | upatras | ||
005 | 20210901140816.0 | ||
008 | 090520s2001 eng | ||
020 | |a 9780121088521 | ||
020 | |a 0121088529 | ||
040 | |a GR-PaULI |c GR-PaULI | ||
041 | 0 | |a eng | |
050 | 4 | |a Q180.55.M4 |b B595 2001eb | |
082 | 1 | 4 | |a 001.4/2 |2 22 |
100 | 1 | |a Bock, Peter |d 1941- |9 74301 | |
245 | 1 | 0 | |a Getting it right |h [electronic resource] |b R&D methods for science and engineering |c Peter Bock; illustrations by Bettina Scheibe |
260 | |a San Diego |b Academic Press |c c2001 | ||
300 | |a xviii, 406 σ. |b εικ. |c 26 εκ | ||
504 | |a Περιέχει βιβλιογραφικές παραπομπές (σ. 331-334) and index | ||
505 | 1 | |a 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 | |
505 | |a 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 | ||
520 | |a 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 and scientists a standard methodology for conducting coherent, rigorous, comprehensible, and consistent R&D projects. The author also realized that this training should be included in engineering and science curricula in universities and colleges. To this end, he designed and presented a pilot course for his department that was received enthusiastically by students who participated. This course has now become a required course for all doctoral students in the author's department. This book has been designed to provide professional engineers, scientists, and students with a consistent and practical framework for the rigorous conduct and communication of complex research and development projects. Although courses and training in research methods are common and generally required of social science professionals, a vast majority of physical scientists and engineers have had no formal classroom training or on-the-job mentoring on proper procedures for research methods. Getting It Right emphasizes the comprehensive analysis of project problems, requirements, and objectives; the use of standard and consistent terminology and procedures; the design of rigorous and reproducible experiments; the appropriate reduction and interpretation of project results; and the effective communication of project design, methods, results, and conclusions. Presents a standard methodology for conducting coherent, rigorous, comprehensible, and consistent R&D projects Thoroughly researched to appeal to the needs of R&D engineers and scientists in industry Will also appeal to students of engineering and science | ||
650 | 4 | |a Ερευνητική μεθοδολογία |9 18090 | |
650 | 4 | |a Engineering |x Research |x Methodology |9 74302 | |
650 | 4 | |a Έρευνα |x Μεθοδολογία |9 179346 | |
650 | 4 | |a Έρευνα |x Μεθοδολογία |9 179346 | |
700 | 1 | |a Scheibe, Bettina |9 74305 | |
710 | 2 | |a ScienceDirect (Online service) |9 35187 | |
852 | |a GR-PaULI |b ΠΑΤΡΑ |b ΒΚΠ |h 001.4/2 BOC | ||
856 | 4 | 0 | |3 ScienceDirect |u http://www.sciencedirect.com/science/book/9780121088521 |z An electronic book accessible through the World Wide Web; click for information |
856 | 4 | 0 | |3 Referex |u http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780121088521 |z An electronic book accessible through the World Wide Web; click for information |
856 | 4 | 2 | |3 Publisher description |u http://www.loc.gov/catdir/description/els031/2001089411.html |
856 | 4 | 1 | |3 Table of contents |u http://www.loc.gov/catdir/toc/fy022/2001089411.html |
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999 | |c 50701 |d 50701 | ||
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