Statistical Process Control For Quality Improvement- Hardcover Version / Edition 2

by J. Koronacki, J.R. Thompson

Overview

While the common practice of Quality Assurance aims to prevent bad units from being shipped beyond some allowable proportion, statistical process control (SPC) ensures that bad units are not created in the first place. Its philosophy of continuous quality improvement, to a great extent responsible for the success of Japanese manufacturing, is rooted in a paradigm as process-oriented as physics, yet produces a friendly and fulfilling work environment.

The first edition of this groundbreaking text showed that the SPC paradigm of W. Edwards Deming was not at all the same as the Quality Control paradigm that has dominated American manufacturing since World War II. Statistical Process Control: The Deming Paradigm and Beyond, Second Edition reveals even more of Deming's philosophy and provides more techniques for use at the managerial level. Explaining that CEOs and service industries need SPC at least as much as production managers, it offers precise methods and guidelines for their use.

Using the practical experience of the authors working both in America and Europe, this book shows how SPC can be implemented in a variety of settings, from health care to manufacturing. It also provides you with the necessary technical background through mathematical and statistical appendices. According to the authors, companies with managers who have adopted the philosophy of statistical process control tend to survive. Those with managers who do not are likely to fail. In which group will your company be?

Product Details

ISBN-13:	9781584882428
Publisher:	Taylor & Francis
Publication date:	12/26/2001
Edition description:	Revised
Pages:	454
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

J. Koronacki, J.R. Thompson

Table of Contents

Statistical Process Control: A Brief Overview. Acceptance-Rejection Statistical Process Control. The Development of Mean and Standard Deviation Control Charts. Sequential Approaches. Exploratory Techniques for Preliminary Analysis. Optimization Approaches. Multivariate Approaches. Appendices: A Brief Introduction to Linear Algebra. A Brief Introduction to Stochastics. Statistical Tables.

Editorial Reviews

From the first edition:
"The book is intellectually stimulating, sometimes on non-statistical issues, which is a rare bonus for readers in this field."
- Bulletin of the International Statistical Institute, Short Book Reviews

From the Publisher

A textbook for a graduate or advanced undergraduate course; some individual chapters have also been used for short industrial courses in Texas and Poland by Thompson (statistics, Rice U.) and Koronacki (artificial intelligence, Polish Academy of Sciences). To the statistical methods used in industrial process control, they add a mathematical modeling background. Annotation c. Book News, Inc., Portland, OR (booknews.com)