- Paperback
- Publisher: John Wiley & Sons Inc; 4 edition (Aug 2001)
- Language English
- ISBN-10: 047121311X
- ISBN-13: 978-0471213116
- Product Dimensions: 26.7 x 21 x 3.8 cm
- Average Customer Review: 5.0 out of 5 stars See all reviews (2 customer reviews)
- See Complete Table of Contents
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Product Description
Product Description
This book explores the modern use of statistical methods in quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state–of–the–art concepts and applications. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation, showing how modern engineers use quality control today.
--This text refers to an out of print or unavailable edition of this title.
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.
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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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