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Introduction to Statistical Quality Control Hardcover – May 2, 2008

ISBN-13: 978-0470169926 ISBN-10: 0470169923 Edition: 6th

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Product Details

  • Hardcover: 734 pages
  • Publisher: Wiley; 6 edition (May 2, 2008)
  • Language: English
  • ISBN-10: 0470169923
  • ISBN-13: 978-0470169926
  • Product Dimensions: 8.3 x 1.3 x 9.9 inches
  • Shipping Weight: 3 pounds (View shipping rates and policies)
  • Average Customer Review: 3.6 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon Best Sellers Rank: #351,226 in Books (See Top 100 in Books)

Editorial Reviews

From the Back Cover

The trusted guide to the statistical methods for quality control and improvement.

Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement.

With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, designing experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques.

You’ll appreciate the significant updates in the Sixth Edition including:

  • In-depth attention to DMAIC, the problem-solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects.
  • New examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. Many examples and exercises are based on real data.
  • New developments in the area of measurement systems analysis
  • New features of Minitab V15 incorporated into the text
  • Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material

About the Author

Douglas C. Montgomery is Regents’ Professor of Engineering and Statistics at Arizona State University. He received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. The author and coauthor of many technical papers and twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, the American Statistical Association, the Royal Statistical Society, the Institute of Industrial Engineers, an Elected Member of the International Statistical Institute and an Academician of the International Academy for Quality.

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Customer Reviews

3.6 out of 5 stars

Most Helpful Customer Reviews

2 of 2 people found the following review helpful By Chris Macintosh on March 16, 2010
Format: Paperback Verified Purchase
If you want to take your knowledge of statistics and see how it is applied in the arena of Statistical Process Control (SPC) this book is a great place to start. A prior background in statistics will be very helpful in understanding the underlying concepts. A more basic introduction to some of the underlying distributions discussed may help the concepts make more sense. Overall, the text seems quite comprehensive in its coverage of SPC. It should give a newcomer to the field a firm foundation for further exploration.
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2 of 3 people found the following review helpful By alanrvazquez on September 13, 2012
Format: Hardcover
The book, like the title says, gives just an introduction to statistical quality control. For example, if you are looking for advanced multivariate process control techniques, or if you are looking for all the statistical inference to formulate the confidence intervals for process capability indices, surely this book is not for you.

The book it is very illustrative and easy to read. I think this book is for undergraduate engineering students only. If you are a serious applied statistician this book will only give you the vocabulary you need to communicate with engineers that are working on quality control areas.

Also, the examples of the book only show how to apply the SQC methodology only in perfect and sometimes unrealistic scenarios that you definitely won't see if you are working as a consultant in a manufacturing company.
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By C. Matthews on January 29, 2013
Format: Hardcover Verified Purchase
This book is very important for its format and clear explanations of statistical concepts. The author uses mathematical language and defines the terms, then breaks those concepts down into understandable examples. For the instructor, the book presents a valuable resource in communicating with students.
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By aussompossum on July 9, 2012
Format: Hardcover Verified Purchase
perfect for any industrial engineer or engineer that deals with quality. tons of information in this bad boy, one of the best statistics books ive ever had! good for class and to learn but one of the best for referencing and proving your boss wrong! great buy!
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By André on August 28, 2014
Format: Hardcover Verified Purchase
It was in a good condition and was a fair price
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By Robin Erazo Benitez on October 14, 2014
Format: Hardcover Verified Purchase
Excellent
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0 of 2 people found the following review helpful By Douglass andrian on February 13, 2013
Format: Paperback Verified Purchase
very nice one. the book is nice and cheap the only defect i notice is the paper is quite thin and prone to tear even during the regular use.
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0 of 2 people found the following review helpful By LACZ on February 21, 2012
Format: Hardcover Verified Purchase
I'm really happy with my purchase in amazon, i ordered this book for Peru and it result good, mgood information, didactic and easy to understand.
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