Statistical Process Control For Quality Improvement- Hardcover Version
2nd Edition
Published on 26. December 2001
456 pages
978-1-040-06165-7 (ISBN)
Description
The first edition of this groundbreaking text showed that the Statistical Process Control (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. Its philosophy of good management is rooted in a paradigm as process-oriented as physics, yet produces a friendly and fulfilling work environment. This second edition broadens its view to reveal even more of Deming's philosophy and provides more techniques for use at the managerial level. It shows readers that CEOs and service industries need SPC at least as much as production lines, and it offers precise methods and guidelines for their use.
Reviews / Votes
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
More details
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
ISBN-13
978-1-040-06165-7 (9781040061657)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
J. Koronacki | J.R. Thompson
Statistical Process Control For Quality Improvement- Hardcover Version
Book
06/2020
2nd Edition
Chapman & Hall/CRC
€63.13
Shipment within 15-20 days
J. Koronacki | J.R. Thompson
Statistical Process Control For Quality Improvement- Hardcover Version
Book
12/2001
2nd Edition
Chapman & Hall/CRC
€282.26
Shipment within 15-20 days
Content
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.
