Introduction to Statistical Quality Control [Hardcover]

Douglas C. Montgomery (Author)

Book Description

ISBN-10: 0471656313 | ISBN-13: 978-0471656319 | Publication Date: August 10, 2004 | Edition: 5

This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation. Guidelines are given throughout the book for selecting the proper type of statistical technique to use in a wide variety of product and nonproduct situations. By presenting theory, and supporting the theory with clear and relevant examples, Montgomery helps the reader to understand the big picture of important concepts. Updated to reflect contemporary practice and provide more information on management aspects of quality improvement.

Editorial Reviews

From the Back Cover

Expert guidance  on modern SQC methods, from the name you trust!

Douglas Montgomery's modern iintroduction to SQC prepares you for professional practice with comprehensive coverage of current statistical methods 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, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques such as the six-sigma approach.

Fullu updated and revised, this Fifth Edition features more fully integrated coverage of Minitab, new homework problems, new and more modern examples, and more.

Introduction to Statistical Quality Control, Fifth Edition:

• Provides guidelines throughout  the book for selecting the proper type of statistical technique to use in a wide variety of product and non-product situations.
• Presents comprehensive coverage—ranging from basic principles to state-of-the-art applications.
• Provides clear and relevant examples, including new examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. many examples and exercises are based on real data.
• Reflects contempory practice and provides more information on management aspects of quality improvement.
• Emphasizes statistical techniques in the context of a strong engineering and management orientation.
• Includes electronic versions of all data sets in the text, supplemental text material, and all instructor resources on the Montgomery SQC website www.wiley.com/college/montgomery.

About the Author

Douglas C. Montgomery Professor of Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering, from 1969 to 1984 he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988 he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering.

Dr. Montgomery has research and teaching interests in industrial statistics including statistical quality control techniques, design of experiments, regression analysis and empirical model building, and the application of operations research methodology to problems in manufacturing systems. He has authored and coauthored many technical papers in these fields and is an author of twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, a Fellow of the Royal Statistical Society, a Fellow of the Institute of Industrial Engineers, and an Elected member of the International Statistical Institute. He is a Stewart Medallist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, the current editor of Quality and Reliability Engineering International, and serves on the editorial boards of several journals.

Product Details

• Hardcover: 776 pages
• Publisher: Wiley; 5 edition (August 10, 2004)
• Language: English
• ISBN-10: 0471656313
• ISBN-13: 978-0471656319
• Product Dimensions: 10 x 8.3 x 1.4 inches
• Shipping Weight: 3.4 pounds
• Average Customer Review: 4.0 out of 5 stars  See all reviews (19 customer reviews)
• Amazon Best Sellers Rank: #112,215 in Books (See Top 100 in Books)
  • #98 in Books > Business & Investing > Management & Leadership > Quality Control

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Customer Reviews

Most Helpful Customer Reviews

54 of 56 people found the following review helpful:

5.0 out of 5 stars excellently written as is true of all of Montgomery's books, March 27, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Introduction to Statistical Quality Control (Hardcover)

Doug Montgomery is an excellent instructor and author. I have taken short courses from him. He teaches statistics in the Engineering School at Arizona State. He is known for his books on engineering statistics and has written some excellent texts on design of experiments, response surface methodology, linear regression and quality control. He is well acquainted with the Deming philosophy for quality , Taguchi designs and the six sigma concept. This book on statistical quality control introduces control chart methods and all the other tools of statistical quality control with the expertise that few have.

The book is very accessible to statisticians engineers and others with good mathematical backgrounds but not necessarily strong trtaining in statistics. A virtue of Montgomery in all the books he has authored or coauthored is the clarity of presentation and the ability to reach a wide audience of non-statisticians.

11 of 12 people found the following review helpful:

4.0 out of 5 stars A solid text on statistical quality control, November 27, 2002

By 

Walter Reade (Appleton, WI United States) - See all my reviews

This review is from: Introduction to Statistical Quality Control (Hardcover)

The book gives an overview of the importance of quality management, the basics of statistics (variability, distributions, etc.), different methods of statistical process control, the use of control charts, capability analysis, design of experiments, process optimization, and sampling. I found all of the chapters informational and practical.

Montgomery does a great job of presenting the theory, giving examples, and helping the reader understand the big picture of various concepts. For example, Montgomery states that a "Pareto chart does not automatically identify the most important defects, but rather only those that occur most frequently," and then gives an example illustrating when this can be so. This is something that might have been overlooked if not pointed out to the reader.

While to book is rather current in introductory theory and practice, there are some relics from previous editions. For example, the inclusion of a random number table in the appendix is rather useless, since all modern calculators and spreadsheets have random number functions. This minor complaint aside, the book is solid and worth having.

17 of 20 people found the following review helpful:

4.0 out of 5 stars An all-in-one text., August 19, 1999

By A Customer

This review is from: Introduction to Statistical Quality Control (Hardcover)

This is a rather comprehensive book on SQC. It benefits from a good introductory treatment of Design of Experiments, a subject sorely missing from most SQC texts. The arrangement of topics in the book is logical from both pedagogical and practical points of view, and the author's stress on improvement -- rather than control -- is the right one for the readers.