Statistical applications in process control
Author(s)
Bibliographic Information
Statistical applications in process control
(Quality and reliability, 47)
M. Dekker, 1996
- (hardcover : alk. paper)
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This work presents significant advances and new methods both in statistical process control and experimental design. It addresses the management of process monitoring and experimental design, discusses the relationship between control charting and hypothesis testing, provides a new index for process capability studies, offers practical guidelines for the design of experiments, and more.
Table of Contents
- An overview and perspective on control charting
- a rule-based approach to multiple statistical test analysis of binary data
- adaptive hierarchical Bayesian Kalman filtering with applications to quality control
- a very simple set of process control rules
- the OCAP - predetermined responses to out-of-control conditions
- economic control charts - relating the model and finding the optimal design
- optimization and sensitivity analysis with an economic model control chart model using the CUSUM
- economic control chart models with cyclic duration constraints
- strategies for statistical monitoring of integral control for the continuous process industries
- applications of the EWMA for algorithmic statistical process control
- statistical process monitoring with integrated moving average noise
- some practical guidelines for designing an industrial experiment
- experimental design models with random components
- alternative approaches to implementing a design of experiments programme
- optimizing defect levels and losses from gauge errors
- a monitoring plan for detecting product degradation from the reliability requirement
- regret indices and capability quantification
- process capability - engineering and statistical issues
- a graphical aid for analyzing autocorrected dynamical systems
- an algorithm and a graphical approach for the economic design of X charts for short run processes
- achieving quality results through blended management.
by "Nielsen BookData"