Introduction to Statistical Quality Control / Edition 6

Introduction to Statistical Quality Control / Edition 6

by Douglas C. Montgomery
     
 

The trusted guide to the statistical methods for quality control and improvement.

Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound

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Overview

The trusted guide to the statistical methods for quality control and improvement.

Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations 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, designing experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques.

You’ll appreciate the significant updates in the Sixth Edition including:

  • In-depth attention to DMAIC, the problem-solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects.
  • New examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. Many examples and exercises are based on real data.
  • New developments in the area of measurement systems analysis
  • New features of Minitab V15 incorporated into the text
  • Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material

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Product Details

ISBN-13:
9780470169926
Publisher:
Wiley
Publication date:
04/28/2008
Series:
Wiley Desktop Editions Series
Edition description:
Older Edition
Pages:
752
Product dimensions:
8.27(w) x 9.94(h) x 1.30(d)

Table of Contents

Pt. I Introduction

Ch. 1 Quality Improvement in the Modern Business Environment

Ch. 2 The DMAIC Process

Pt. II Statistical Methods Useful in Quality Control and Improvement

Ch. 3 Modeling Process Quality

Ch. 4 Inferences about Process Quality

Pt. III Basic Methods of Statistical Process Control and Capability Analysis

Ch. 5 Methods and Philosophy of Statistical Process Control

Ch. 6 Control Charts for Variables

Ch. 7 Control Charts for Attributes

Ch. 8 Process and Measurement System Capability Analysis

Pt. IV Other Statistical Process-Monitoring and Control Techniques

Ch. 9 Cumulative Sum and Exponentially Weighted Moving Average Control Charts

Ch. 10 Other Univariate Statistical Process Monitoring and Control Techniques

Ch. 11 Multivariate Process Monitoring and Control

Ch. 12 Engineering Process Control and SPC

Pt. V Process Design and Improvement with Designed Experiments

Ch. 13 Factorial and Fractional Experiments for Process Design and Improvements

Ch. 14 Process Optimization and Designed Experiments

Pt. VI Acceptance Sampling

Ch. 15 Lot-by-Lot Acceptance Sampling for Attributes

Ch. 16 Other Acceptance Sampling Techniques

Appendix

Bibliography

Index

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