From Book News, Inc.
Bringing together frequently employed methods of statistical quality control for process monitoring with process adjustment techniques, Box (U. of Wisconsin, Madison) and Luceo (U. of Cantabria; Santander, Spain) introduce a coordinated approach to efficient "control in a nonstationary world." Quality control engineers, applied statisticians, and graduate students in industrial engineering and related fields should find of value their discussion of control and feedback adjustment charts, modeling process dynamics, costs, and time series analysis. Graphics, exercises, and a normal distribution table supplement the text. Book News, Inc.®, Portland, OR
Review
"This book, like all the other works...by Professor George Box, serves a useful purpose, and is a significant addition to the literature on statistical practice...should be of considerable interest to those interested in these topics." (International Journal of Forecasting, No. 16, 2000)
“Box and Luceño have written an interesting and important book. The primary message is that statistical process control (SPC) and engineering process control (EPC) should be used together. …it is the first book that provides an in-depth treatment of EPC in addition to containing material on SPC.” ( Journal of Quality Technology)
“The organization is excellent and provides something for everyone...." (Journal of Quality Technology)
“It is to be hoped … that experimenters in all fields will be encouraged to read this text.” (Biometrics, June 1979)
“The authors are to be congratulated for having written an excellent book. Students fortunate enough to have this as a text will have the opportunity to learn much, and not the least from the review questions and numerous well constructed problems. Engineers wishing to advance their elementary understanding of statistical design and analysis will be delighted with this work. The writing is literate, and the technical aspect impeccable.” (Journal of Quality Technology, Vol. 11, No. 1, Jan. 1979, Lloyd S. Nelson, General Electric Co., Louisville, KY)
Review
"This book...serves a useful purpose, and is a significant addition to the literature on statistical practice...." (International Journal of Forecasting, No. 16, 2000)
Book Description
A detailed, practical, accessible guide to efficient statistical control.
Efficient control is a key element in the improvement and maintenance of quality and productivity. This book shows the advantages of bringing together the more commonly used methods of statistical quality control with appropriate techniques of feedback adjustment. It uses recent research and practical experience to provide feedback methods of immediate use in the workplace.
Statistical Control by Monitoring and Feedback Adjustment introduces a new coordinated approach to quality control. The authors' clear and cogent presentation uses extensive graphical explanation supplemented by numerous examples and computational tables. A helpful selection of problems and solutions further facilitates understanding.
Topics covered include:
* A fresh look at process monitoring
* Using feedback adjustment charts
* Minimizing the size of adjustments
* Feedback techniques that minimize costs of adjustment and sampling
* Detection of special causes with Cuscore Statistics
* Efficient monitoring of operating feedback systems
* The roles of models, optimization, and robustness
* A brief review of time series analysis.
Statistical Control by Monitoring and Feedback Adjustment is important reading for quality control engineers and statisticians as well as graduate students in quality control, industrial engineering, and applied statistics.
Book Info
Shows the advantages of bringing together the more commonly used methods of statistical quality control with appropriate techniques of feedback adjustment. Covers process monitoring, using feedback adjustment charts, and time series analysis. DLC: Process control - Statistical methods
The publisher, John Wiley & Sons
This book is concerned with the development of simple, but powerful techniques of feedback adjustment suitable for understanding and use by statistical process control (SPC) practitioners and the work force. The overall intent of the book is to make major improvement in industrial efficiency.
From the Back Cover
A detailed, practical, accessible guide to efficient statistical control.
Efficient control is a key element in the improvement and maintenance of quality and productivity. This book shows the advantages of bringing together the more commonly used methods of statistical quality control with appropriate techniques of feedback adjustment. It uses recent research and practical experience to provide feedback methods of immediate use in the workplace.
Statistical Control by Monitoring and Feedback Adjustment introduces a new coordinated approach to quality control. The authors' clear and cogent presentation uses extensive graphical explanation supplemented by numerous examples and computational tables. A helpful selection of problems and solutions further facilitates understanding.
Topics covered include: A fresh look at process monitoring Using feedback adjustment charts Minimizing the size of adjustments Feedback techniques that minimize costs of adjustment and sampling Detection of special causes with Cuscore Statistics Efficient monitoring of operating feedback systems The roles of models, optimization, and robustness A brief review of time series analysis.
Statistical Control by Monitoring and Feedback Adjustment is important reading for quality control engineers and statisticians as well as graduate students in quality control, industrial engineering, and applied statistics.
About the Author
GEORGE BOX, Director of Research at the University of Wisconsin's Center for Quality and Productivity, is coauthor of a number of books available from Wiley.
ALBERTO LUCEÑO is Professor in the ETS de Ingenieros de Caminos at the University of Cantabria Santander, Spain.
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