Introduction to Statistical Quality Control [Hardcover]

Douglas C. Montgomery (Author)

Book Description

ISBN-10: 0471316482 | ISBN-13: 978-0471316480 | Publication Date: December 13, 2000 | Edition: 4

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.

Editorial Reviews

From the Back Cover

IN A RAPIDLY CHANGING FIELD, ONE TEXT KEEPS THE PACE.

The field of statistical quality control and improvement is moving quickly, but one text keeps the pace. Douglas Montgomery's modern introduction to SQC prepares readers for professional practice with up-to-date coverage of the most current techniques and procedures, as well as more traditional methods. His new Fourth Edition is completely Updated with the latest developments in the field, new examples, and integrated and expanded coverage of computer software such as Minitab and Excel. Readers will 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.

FEATURES

• All basic SPC methods involving Shewhart control charts as well as techniques for process and measurement systems capability analysis are conveniently integrated in Part II.
• coverage intermediate and advanced methods for process monitoring and control, including cusum and EWMA control charts, short- run SPC, monitoring autocorrelated processes, multivariate process monitoring, and process monitoring with feedback adjustment is presented in Part III.
• Montgomery SQC Web site(www.wiley.com/college/montgomery) provides electronic versions of all data sets in the text, as well as supplemental text material.
• Includes new material on implementing quality improvement techniques, such as the six-sigma initiative.
• Comprehensive coverage of the subject ranges from basic principles to state-of-the-art applications.
• Emphasizes statistical techniques in the context of a strong engineering and management orientation.
• Many examples and exercises in the book utilize date from real applications.

Now available with SPC and DOX for Excel^TM Educational Version 2.0 SPC and DOX for Excel software, Educational Version 2.0 (ISBN: 0-471-39412-2) is an essential tool for users of Montgomery's INTRODUCTION TO STATISTICAL QUALITY CONTROL. This Microsoft^® Excel add-in application provides integrated statistical process control (SPC ) and design of experiment (DOX) functionality within a spreadsheet. The Educational Version is time-limited with full industrial functionality, and is compatible with Windows^® and Macintosh^® systems.

About the Author

Douglas C. Montgomery Professor of Industrial Engineering 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 engineering 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 eleven other books. Dr. Montgomery is a Fellow of the American society for Quality control, a Fellow of the American Statistical Association, a Fellow of the royal statistical society, and a Fellow of the Institute of Industrial Engineers. He is a Stewart Medalist of the American society for Quality Control, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award from the ASQC. 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: 816 pages
• Publisher: Wiley; 4 edition (December 13, 2000)
• Language: English
• ISBN-10: 0471316482
• ISBN-13: 978-0471316480
• Product Dimensions: 9.6 x 7.8 x 1.4 inches
• Shipping Weight: 3.5 pounds
• Average Customer Review: 4.0 out of 5 stars  See all reviews (19 customer reviews)
• Amazon Best Sellers Rank: #754,517 in Books (See Top 100 in Books)

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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.