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- Title
EFFICIENT SHIFT DETECTION USING MULTIVARIATE EXPONENTIALLY-WEIGHTED MOVING AVERAGE CONTROL CHARTS AND PRINCIPAL COMPONENTS.
- Authors
Scranton, Richard; Runger, George C.; Keats, J. Bert; Montgomery, Douglas C.
- Abstract
This paper demonstrates the use of principal components in conjunction with the multivariate exponentially-weighted moving average (MEWMA) control procedure for process monitoring. It is demonstrated that the number of variables to be monitored is reduced through this approach, and that the average run length to detect process shifts or upsets is substantially reduced as well. The performance of the MEWMA applied 10 all the variables may he related to the MEWMA control chart that uses principal components through the non-centrality parameter. An average run length table demonstrates the advantages of the principal components MEWMA over the procedure that uses all of the variables, An illustrative example is provided.
- Subjects
STATISTICAL process control; QUALITY control; MANUFACTURING processes; AUTOMATIC control systems; MATHEMATICAL analysis; EQUATIONS
- Publication
Quality & Reliability Engineering International, 1996, Vol 12, Issue 3, p165
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/(SICI)1099-1638(199605)12:3<165::AID-QRE990>3.0.CO;2-Q