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A. Seif. Economic-Statistical Design of the Chi-Square Multivariate Control Chart with Variable Parameters. Journal of Operational Research and Its Applications. 2012; 9 (1)
URL: http://jamlu.liau.ac.ir/article-1-371-en.html
Abstract:   (9109 Views)
The usual procedure when employing a T2 control chart for multivariate process monitoring is to take samples of fixed size n0 every h0 hours from the process. Recent studies have shown that using variable parameters (VP) schemes results in charts with more statistical power when detecting small to moderate shifts in the process mean vector. In this paper, the VPT2 control chart for monitoring the process mean vector is economically designed. The cost model proposed by Lorenzen and Vance is used here and is minimized through a genetic algorithm (GA) approach.
Full-Text [PDF 310 kb]   (4179 Downloads)    
Type of Study: Research | Subject: General
Received: 2012/04/30 | Published: 2012/04/15

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