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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This book is well organized and delivered in a way easy for readers to understand. I am impressed with the logicality and the forthright expression that the authors used in writing the book ... It is also valuable for students, managers, and professionals interested in Taguchi's robust design methods, as well as the implementation of Six Sigma. --Assembly Automation Industrial Robot Sensor Review
This is a good book and the authors must be congratulated to have chosen the right subject ... The book is very well-written and will be found as good reference material to the subject. The reviewer would like to recommend this book to the engineers and statisticians who wish to get familiarized with the subject. --International Journal of Performability Engineering
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