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Statistical Quality Design and Control, Second Edition by Richard E. DeVor, Tsong-how Chang and John W. Sutherland. Pearson Education, Inc., Pearson Prentice Hall, Upper Saddle River, New Jersey 2007, xviii + 942 pp. $139.00.
THE AUTHORS cover many of the basics of quality philosophy, control charting, designed experimentation and other quality-related topics in this well-written book, which could be used for self-study or as a textbook at the undergraduate level. There are two chapters on quality history and concepts, two chapters on basic statistical methods, and nine chapters on control charting, capability assessment, tolerancing, and related case studies. In addition, there are nine chapters on designed experimentation, covering up through fractional factorial experiments and response surface methods. The table of contents is available at the publisher's website.
It seems natural to compare the content of the book to that of Montgomery (2005), the most popular statistical quality control book. Compared to Montgomery (2005), this book has the following characteristics: more discussion relative to the number of formulas, more focus on the basic control charts such as X-bar and R-charts, more case studies, more discussion of the same experimental design methods, far less discussion of the more modern control charting methods, and no coverage of measurement system analysis or acceptance sampling. With regard to process monitoring, there is no discussion of autocorrelation, overdispersion, or multivariate methods.
The authors are in engineering departments, so the focus is on engineering applications, as opposed...