This book is written primarily for engineers who want to use statistical designs for quality engineering, and for statisticians who want to know the wide range of applications of experimental design in the manufacturing industry. Significantly, Robust Design and Analysis for Quality Engineering addresses the following techniqes:
Through a series of real case studies, these important techniques are made readily accessible to all readers. This is also the key text for senior undergraduate and postgraduate students studying engineering and experimental design.
Preface
Chapter 1 : Quality Engineering
Chapter 2 : Analysis of Quality Information and Quality Improvement Effort
Chapter 3 : Fundamentals of Designing Experiments
Chapter 4 : Orthogonal Array Experiments I
Chapter 5 : Orthogonal Array Experiments II
Chapter 6 : Parameter Design for Continous Data
Chapter 7 : Parameter Design for Discrete Data
Chapter 8 : Altnerative Parameter Design and Other Considerations
Chapter 9 : Parameter Design for Dynamic Characteristics
Chapter 10 : Tolerance Design
Chapter 11 : Response Surface Design and Analysis
Appendix
References
Index
