Statistical Applications in Process Control

Front Cover
J. Bert Keats, Douglas C. Montgomery
CRC Press, Mar 15, 1996 - Science - 528 pages
0 Reviews
Reviews aren't verified, but Google checks for and removes fake content when it's identified
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.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Design of Experiments
1
Adaptive Hierarchical Bayesian Kalman Filtering with
2
SPC and Control Charting
7
A RuleBased Approach to Multiple Statistical
21
A Very Simple Set of Process Control Rules
83
Control Charts and Process Economics
105
Optimization and Sensitivity Analysis with an Economic
121
Economic Control Chart Models with Cycle
159
Some Practical Guidelines for Designing
269
Alternative Approaches to Implementing a Design
305
A Monitoring Plan for Detecting Product Degradation
345
Regret Indices and Capability Quantification
363
Engineering and Statistical Issues
407
A Graphical Aid for Analyzing Autocorrelated
435
An Algorithm and a Graphical Approach for the Economic
473
Achieving Quality Results Through Blended Management
493

Integration of SPC and
193
Applications of the EWMA for Algorithmic Statistical
215
Statistical Process Monitoring with Integrated Moving
239

Common terms and phrases

References to this book

Bibliographic information