Statistical Control by Monitoring and Feedback Adjustment

Statistical Control by Monitoring and Feedback Adjustment : By Monitoring and Feedback Adjustment

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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.
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Product details

  • Hardback | 328 pages
  • 162.56 x 236.22 x 22.86mm | 680.39g
  • John Wiley & Sons Inc
  • New York, United States
  • English
  • illustrations, charts, tables
  • 0471190462
  • 9780471190462

Back cover copy

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.
show more

Table of contents

Control in a Nonstationary World.; Control Charts for Frequencies and Proportions.; Control Charts for Measurement Data.; Modeling Process Dynamics and Forecasting Using Exponential Smoothing.; Time Series Models for Process Disturbances.; Process Adjustment Using Feedback Control: Manual Adjustment Charts.; Control of a Process with Inertia.; Feedback Control When There are Adjustment Costs.; Including the Cost of Surveillance: How Often Should You Sample?; Directed Process Monitoring and Cuscore Charts: Looking for Signals in Noise.; Simultaneous Adjustment and Monitoring.; A Brief Review of Time Series Analysis.; Conclusion.; Three Time Series.; Solutions to Exercises and Problems.; Table A: Normal Distribution Two--Sided Tail Probabilities.; Bibliography.; Index.
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Review Text

"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)
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Review quote

"This book...serves a useful purpose, and is a significant addition to the literature on statistical practice..." (International Journal of Forecasting, No. 16, 2000)
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About Alberto Luceno

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 LUCENO is Professor in the ETS de Ingenieros de Caminos at the University of Cantabria Santander, Spain.
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