Taguchi Methods : Benefits, Impacts, Mathematics, Statistics, and Applications

Newly translated from the Japanese edition, this unique and practical book is unlike others in the area of robust design. The expert author describes how to conduct robust technology development in a time- and cost-efficient manner, as originated by Dr. Taguchi in the early 1990s, and includes all aspects for the development of robust technology and robust products: quality philosophy, quality strategies/planning, management and organization, robust design methods/tools, and real-life case studies from industry.

As a result, this book is written to teach engineers from various backgrounds the fundamentals of quality engineering such as: 2-step robust design, parameter design, tolerance design, quality loss function, S/N (signal-to-noise) ratios, orthogonal arrays, additive confirmation, and more. This book also provides engineering managers and executives with a practical blueprint for company-wide implementation of quality engineering. Numerous award-winning case studies are discussed to illustrate the uses and benefits of practical statistical analyses such as main-effect plots, and analysis of variance.

Foreword
Recommendations
Preface

Chapter 1 : Taguchi Methods for Challenges in Manufacturing
Chapter 2 : Mathematical Structural of Orthogonal Arrays
Chapter 3 : Methods to Select and Compound Noise Factors
Chapter 4 : Electric Motor Optimization Using Dynamic S/N (Signal-to-Noise) Ratios
Chapter 5 : S/N (Signal-to-Noise) Ratios for Static Characteristics and the Robustness Optimization Procedure
Chapter 6 : Standard Usage and Transformation of Taguchi-Class Orthogonal Arrays
Chapter 7 : Taguchi Methods (Robust Design) and Traditional Experimental Optimization Procedures
Chapter 8 : Historical Events and Milestone Case Studies of Taguchi Methods
Chapter 9 : Taguchi-Class Experimental Design Methods and Applications
Chapter 10 : Energy Transformation/Transfer and Generic Function
Chapter 11 : Two-Step Design Optimization and Tolerance Design
Chapter 12 : Logarithm Transformation of the Output Response Data for Optimization
Chapter 13 : Output Characteristics, Statistics, and Calculation Examples of Taguchi Methods
Chapter 14 : Methods and Mathematics for the Generation of Orthogonal Arrays
Chapter 15 : Orthogonal Polynomial and Treatment Quantification for Missing Data
Chapter 16 : Reliability Test and Reliability Design
Chapter 17 : Pattern Recognition and the MT (Mahalanobis-Taguchi) System
Chapter 18 : Illustrations and Applications of Standard Condition S/N (Signal-to-Noise Ratios)
Chapter 19 : Orthogonal Arrays and Software Debugging Methods
Chapter 20 : CAD/CAE Simulation Optimization
Chapter 21 : Q & A : Business Administration and Taguchi Methods
Chapter 22 : Exercises

Index
Appendix A : The Roles and Usage of Orthogonal Arrays
Appendix B : Q & A : Methods to Categorize Factors and Set Factor Levels
Appendix C : Q & A : Data Transformation and Analysis Methods
Appendix D : Q & A : The MT (Mahalanobis-Taguchi) System and Pattern Recognition