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Introduction to Statistical Quality Control
 
 

Introduction to Statistical Quality Control (Hardcover)

by Douglas C. Montgomery (Author)
5.0 out of 5 stars See all reviews (1 customer review)

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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.

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.

    See all Product Description


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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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