Quality is an essential determinant for achieving overall business success. Quality Engineering: Off-Line Methods and Applications discusses the use of quality engineering methods and other modern techniques to ensure design optimization in the product and process design stages for a company. Starting with the basics, this book presents an overall picture of quality engineering. It helps readers understand quality engineering methods such as DOE, Taguchi, RSM, and computational intelligence approaches. It also provides extensive examples and case studies, without extensive mathematical treatments, making it accessible to a broad audience.
Preface
Chapter 1 : Introduction
Chapter 2 : Fundamentals of Experimental Design
Chapter 3 : Principles of Quality Engineering
Chapter 4 : Utilization of Orthogonal Arrays
Chapter 5 : Quality Loss Function and Static Signal-to-Noise Ratios
Chapter 6 : Parameter Design for Static Characteristics
Chapter 7 : Parameter Design for Dynamic Characteristics
Chapter 8 : Implementing Parameter Design
Chapter 9 : Tolerance Design
Chapter 10 : Mahalanobis-Taguchi System
Chapter 11 : Response Surface Methodology
Chapter 12 : Parameter Design Using Computational Intelligence
Appendix
References
Glossary
Index
