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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Bock, Peter 1941-
Συγγραφή απο Οργανισμό/Αρχή: ScienceDirect (Online service)
Άλλοι συγγραφείς: Scheibe, Bettina
Μορφή: Ηλεκτρονική πηγή Βιβλίο
Γλώσσα:English
Έκδοση: San Diego Academic Press c2001
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
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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