Statistical control by monitoring and feedback adjustment

Front 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.

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Contents

Control Charts for Frequencies and Proportions
17
Control Charts for Measurement Data
54
Modeling Process Dynamics and Forecasting Using
85

11 other sections not shown

Common terms and phrases

About the author (1997)

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