Statistical Control: By Monitoring and Feedback Adjustment / Edition 1by George E. P. Box, Alberto Luceno, Alberto Luceao
Pub. Date: 09/28/1997
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
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.
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.
Three Time Series.
Solutions to Exercises and Problems.
Table A: Normal Distribution Two-Sided Tail Probabilities.
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