Robust Design for Quality Engineering and Six Sigma

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World Scientific, 2008 - Technology & Engineering - 545 pages
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This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.
 

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one of the good book on Taguchi Methods. the authors have clearly define the use of orthogonal array, use of S/N ratios taking different examples
i recommend all the researcher and students to refer this book for understanding the Taguchi Method

Contents

Exercises
91
Exercises
139
Parameter Design for Continuous Data
145
Exercises
176
Exercises
206
Alternative Parameter Design and Other
209
Exercises
240
Exercises
263
models
316
Exercises
342
Further Issues for the Implementation
375
Design for Six Sigma
407
Robust Design and Implementation of Six Sigma
439
Appendices
483
References
531
Index
539

Exercises
301

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