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Introduction to Statistical Quality Control
 
 

Introduction to Statistical Quality Control (Hardcover)

by Douglas C. Montgomery (Author) "This book is about the use of statistical methods and other problem-solving techniques to improve the quality of the products used by our society ..." (more)
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Product details

  • Hardcover: 776 pages
  • Publisher: John Wiley & Sons; 5th Edition edition (2 Aug 2004)
  • Language English
  • ISBN-10: 0471656313
  • ISBN-13: 978-0471656319
  • Product Dimensions: 25.4 x 21.1 x 3.6 cm
  • Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 469,081 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

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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. 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.

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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Introduction to Statistical Quality Control
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Introduction to Statistical Quality Control 5.0 out of 5 stars (1)
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11 of 11 people found the following review helpful:
5.0 out of 5 stars A comprehensive,practical guide to SQC, 5 Sep 2000
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.
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