Introduction to Statistical Quality Control, 6th Edition

by Douglas C. Montgomery (Arizona State University )

• ISBN13: 9780470169926
• ISBN10: 0470169923
• Edition: 6th
• Format: Hardcover
• Copyright: 2008-05-01
• Publisher: Wiley

Summary

The trusted guide to the statistical methods for quality control. 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, design 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

Author Biography

Douglas C. Montgomery is Regents’ Professor of Engineering and Statistics at Arizona State University. He received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. The author and coauthor of many technical papers and twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, the American Statistical Association, the Royal Statistical Society, the Institute of Industrial Engineers, an Elected Member of the International Statistical Institute and an Academician of the International Academy for Quality.

Table of Contents

Introduction

Quality Improvement in the Modern Business Environment

The DMAIC Process

Statistical Methods Useful in Quality Control and Improvement

Modeling Process Quality

Inferences about Process Quality

Basic Methods of Statistical Process Control and Capability Analysis

Methods and Philosophy of Statistical Process Control

Control Charts for Variables

Control Charts for Attributes

Process and Measurement System Capability Analysis

Other Statistical Process-Monitoring and Control Techniques

Cumulative Sum and Exponentially Weighted Moving Average Control Charts

Other Univariate Statistical Process Monitoring and Control Techniques

Multivariate Process Monitoring and Control

Engineering Process Control and SPC

Process Design and Improvement with Designed Experiments

Factorial and Fractional Experiments for Process Design and Improvements

Process Optimization and Designed Experiments

Acceptance Sampling

Lot-by-Lot Acceptance Sampling for Attributes

Other Acceptance Sampling Techniques

Appendix

Table of Contents provided by Publisher. All Rights Reserved.