This up-to-date survey of statistical quality control reviews basic probability and statistics, basic control chart principles (including cumulative sum procedures and multivariate charts), and provides insight into statistically designed experiments and related topics. Reviews the use of statistics in quality control in the U.S. and Japan, with a critical examination of Taguchi methods. Approach is conceptual rather than mathematical, making this book accessible to a wide audience.

From the Back Cover

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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