- Hardcover: 816 pages
- Publisher: John Wiley & Sons; 4th Edition edition (5 Jan 2001)
- Language English
- ISBN-10: 0471316482
- ISBN-13: 978-0471316480
- Product Dimensions: 24.3 x 19.7 x 3.5 cm
- Average Customer Review: 5.0 out of 5 stars See all reviews (2 customer reviews)
- Amazon Bestsellers Rank: 1,336,885 in Books (See Top 100 in Books)
- See Complete Table of Contents
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More About the Author
Product Description
Product Description
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.
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 ExcelTM 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.
Inside This Book
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews
13 of 13 people found the following review helpful:
5.0 out of 5 stars
A comprehensive,practical guide to SQC,
By gary.williams@uk.akzonobel.com (London) - See all my reviews
This review is from: Introduction to Statistical Quality Control (Hardcover)
A short while ago we were called upon by a major customer to present detailed test results of work carried out on their behalf.With large amounts of data to handle and analyse I rather quickly decided on a "statistical" approach to the problem.Fortunately,I came upon a reference to Montgomery's textbook and obtained a copy.It has rarely left my deskside since. Written so that anyone with A-level statistics can understand the theory underlying the SQC procedures described it is nevertheless as a superbly PRACTICAL guide to the subject that it really scores,giving clear and comprehensive reasons for the choice of particular statistical techniques as required.Where appropriate the plusses and minuses of these are detailed. The book concludes with two large sections on experimental design and sampling theory both of which further enhance the utility of this excellent book.
0 of 2 people found the following review helpful:
5.0 out of 5 stars
quality management course,
By
This review is from: Statistical Quality Control: A Modern Introduction (Paperback)
havent gone through this book much yet but all good so far had tthe book delivered no issues thank you, was not yet let down on this website
Share your thoughts with other customers: Create your own review
Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
4.0 out of 5 stars (19 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,
By Michael R. Chernick "statman31147" - Published on Amazon.com
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,
By Walter Reade - Published on Amazon.com
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.,
By A Customer - Published on Amazon.com
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.
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