Getting It Right: R&D Methods for Science and Engineering

Getting it Right: R&D Methods for Science and Engineering, Second Edition, is an authoritative guide to the methodologies that produce coherent and complete R&D projects. Based on the author’s experience in large industrial firms, this book addresses the avoidance of common pitfalls that engineers and scientists routinely face in industry and academia. Special emphasis is placed on the comprehensive analysis of project problems, requirements, 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, embedded in a clear and modern framework of the Scientific Method.

This fully updated new edition also includes an extended case study from industry, additional material about the evolution of knowledge and science and technology and a special focus on the discovery and nurture of technical innovation, both of which reinforce the importance of adherence to the described methodology in both academic and industrial venues. Professional engineers and researchers will find a highly consistent and practical reference for the rigorous conduct and clear communication of complex R&D projects. Students will also find a palatable introduction to the critical concepts of knowing, doing, and Getting it Right.

Presents a standard methodology for conducting rigorous and complete R&D projects Includes a detailed case study from an experienced R&D research scientist and engineer Provides a consistent framework for knowledge organization and the Scientific Method

Part I - Introduction 1. Research and Development 2. Process and Preparation

Part II - Project Organization 3. The Project Hierarchy 4. The Project Task

Part III - Knowledge Representation 5. An Epistemological Journey 6. Categories and Types of Knowledge 7. Roles of Knowledge Propositions 8. The Limits of Knowledge

Part IV - The Scientific Method 12. Overview 13. Analysis 14. Hypothesis 15. Synthesis 16. Validation

Appendices

Index