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Statistical Quality Design and Control: Contemporary Concepts and Methods, by Richard E. DeVor, Tsong-how Chang, John W. Sutherland
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Ships out immediately with tracking number! always within 24 hours. This book is in solid condition with minimal highlighting or signs of use. Feel free to contact us with any further inquiries
- Sales Rank: #393294 in Books
- Published on: 1992-01-03
- Original language: English
- Number of items: 1
- Dimensions: 9.63" h x 2.09" w x 7.42" l,
- Binding: Hardcover
- 809 pages
From the Publisher
In presenting the material, the book makes rich use of detailed actual case studies to illustrate the concepts and methods at work. Emphasis is placed on both the philosophical/conceptual underpinnings and the techniques and methods of SPC and DOE. The concepts and methods of Taguchi for quality design are combined with more traditional experimental design methods to promote the importance of viewing quality from an engineering design perspective.
Most helpful customer reviews
0 of 0 people found the following review helpful.
quality is really good for a used book
By Yun Shang
only some difference between the content of this book and the newest version, but bbbbig difference in price. This one is really good.
1 of 2 people found the following review helpful.
Teachs well with boring style
By Baris Nurlu
This quality book consists of statistical quality analysis for the students who know probability and statistics well. The subjects are well organized and this gives a good oppotunity to begin the quality analysis. Beside these, the book is not efficent in terms of reading. The sentences and words chosen sometimes become boring. So try to look up the inside of the book before buying and then decide if possible.
2 of 3 people found the following review helpful.
Great Book for understanding the concepts of DOE Analysis
By A Customer
This book deals with the concepts behind quality engineering from Deming to Taguchi. The meat of the book resides in demonstrating the power of orthogonal and sequential experimentation in understanding and modeling processes. Good case studies are provided to demonstrate real world application of this powerful analysis tool.
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