Statistical Methods for Quality Improvement

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Wiley, Feb 14, 2000 - Business & Economics - 555 pages
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A comprehensive, up-to-date survey of statistical methods for quality improvement

Statistical methods for quality improvement offer numerous benefits for industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. In the Second Edition of his successful book that is still unrivaled in content, Tom Ryan continues to offer clear, thorough coverage of all available techniques-from basic control charts to regression and design of experiments, and the combined use of these tools. This edition is fully expanded and revised, bringing readers up to date with very recent research and providing a solid foundation from which to explore the statistical literature. Dr. Ryan tackles complicated topics in a logical, engaging, easy-to-understand style, downplaying mathematical formulas and making the material accessible to industrial engineers and applied statisticians alike. Special features of Statistical Methods for Quality Improvement, Second Edition include:

Greatly expanded chapters on process capability indices and multivariate control chart methods

Improved attributes control charts based on the author's research

A detailed presentation of Six Sigma programs

A new, separate chapter on CUSUM and EWMA procedures

New material on robust design and Taguchi-type procedures

Chapter appendices for more in-depth coverage of selected topics

Very extensive and up-to-date references in each chapter, in addition to a bibliography of papers on a variety of control chart applications

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Contents

Introduction
3
Basic Took for Improving Quality
11
9
27
Copyright

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About the author (2000)

THOMAS P. RYAN, PhD, is Director of Statistical Consulting in the Department of Statistics at Case Western Reserve University, and the author of Modern Regression Methods, available from Wiley.