Design for Six Sigma as Strategic Experimentation

Planning, Designing, and Building World-Class Products and Services

Harry E. Cook

• Publisher: ASQ Quality Press
• Year: 2004
• Print ISBN: 9780873896450
• eBook ISBN: 9780873892681
• Topic: Business
• Subtopic: Operations
• Index: Business

Design for Six Sigma as Strategic Experimentation develops a practical, science-based methodology for guiding the product realization process for highly-competitive markets. Forecasts of cash flow, market share, and price are used to select the final design from among the alternatives considered. A single formalism is used to integrate the tasks and responsibilities of marketing research, product planning, finance, design, engineering, and manufacturing within the overall product realization process. The targeted audiences for this book are graduate engineers, statisticians, and scientists who are or who soon will be involved in planning, designing, manufacturing, and servicing products for highly-competitive markets. "This book is a significant contribution to statisticians, systems and industrial engineers interested in the big picture. It has the potential to increase the relevance of statistical analysis and improve the statistical ability of system engineers to deal with new product design using economic considerations. Teachers, students and practitioners will find the book a useful addition to their libraries." Ron S. Kenett PA Ranaana, Isrrael (from Quality Progress magazine) "The book is an important path-breaking contribution to the critical societal need to more closely link engineering with business and other broad societal issues...Employing the approaches has the clear potential for achieving competitive advantage for corporations that grow capacity to use these tools and insights as additions to existing Six Sigma and Product Development improvement initiatives." Chris Magee Professor of the Practice of Mechanical Engineering and Engineering Systems and Director of the Center for Innovation in Product Development Massachusetts Institute of Technology

Table of contents

• Cover
• Title page
• CIP data
• Contents
• Figures and Tables
• Preface
• 1 Product Management and the Fundamental Metrics
• 2 Product Value and Demand
• 3 System Level Design and Strategic Experimentation
• 4 Statistics
• 5 Role of Variation on Product Value
• 6 Design of Shear Pin Using Monte Carlo Simulation
• 7 Level 1: Multiple Regression with Pooled Variances
• 8 Level 2: Satterthwaite’s df and Approximate t-Test
• 9 Level 3: Influence of the Factorson the Mean and Variance
• 10 Level 4: Testing for Strategic Significance
• 11 When Plans Have Been Modified or Need to Be
• 12 Applications of Lognormal, Binomial, and Poisson Distributions
• 13 LIB and the Weibull Distribution
• 14 Signal-Response (Dynamicor Multiple Target) Problems
• 15 Strategic Response Surface Maps
• Appendix A Constructing Design Matrices
• Appendix B Bonferroni Method for Converting PWE to EWE
• Appendix C General Aspects of Regular Least Square Solution
• Appendix D Monte Carlo Analysis of a Binomial Distribution Problem
• Appendix E Monte Carlo Analysis of a Poisson Distribution Problem
• Appendix F Use of SDWs and Templates on CD-ROM for Analysis Automation
• Appendix G Derivation of the Individual F Test for the Influence of Factors on Log Variance
• Appendix H Bits for Drilling Printed Circuit Vias
• Appendix I Point Estimates for the Variance of the SN Ratio
• Index