- Hardcover: 456 pages
- Publisher: Chapman and Hall/CRC; 2 edition (26 Dec 2001)
- Language English
- ISBN-10: 1584882425
- ISBN-13: 978-1584882428
- Product Dimensions: 23.6 x 15.7 x 3 cm
- Amazon Bestsellers Rank: 4,566,791 in Books (See Top 100 in Books)
- See Complete Table of Contents
Statistical Process Control For Quality Improvement- Hard...
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Review
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
Product Description
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?
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?
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First Sentence
The common conception about quality control is that it is achieved by diligence, a good attitude and hard work. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
The common conception about quality control is that it is achieved by diligence, a good attitude and hard work. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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5.0 out of 5 stars (1 customer review)
4 of 4 people found the following review helpful:
5.0 out of 5 stars
The only complete course of SPC that I know, 1 Jun 2002
By Andrzej Blikle - Published on Amazon.com
This review is from: Statistical Process Control for Quality Improvement: The Deming Paradigm and Beyond (Hardcover)
Variation is inherent in many processes common in companies and societies. Edwards Deming, one of the architects of Japan's industrial success, regarded the understanding of variation as one of the most important managerial skills. Unfortunately only few books on management treat that subject at all, and these that do, most frequently give it only a very superficial coverage. The reviewed book is the only one I know that gives a full explanation of both the practice and the theory of statistical process control (SPC) - the way to understand variation. As a manager and TQM coach I fully recommend the book to managers and management students, as a mathematician I recommend it to students and researchers in statistics.
Readers without mathematical background should not be scared by many mathematical formulas in the book that explain why SPC works. They may very well skip the reading of equations without any loss in understanding of how SPC works and how to use it in practice.
In my opinion the book of James R. Thompson and Jacek Koronacki should be regarded as a must for any business school library and the bookshelf of any manager.
Andrzej Blikle
Professor in mathematics and computer science
Member of Academia Europaea
President of "A.Blikle Ltd."
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