Monitoring Process Mean and Variance with a Single Generally Weighted Moving Average Chart

Two generally weighted moving average (GWMA) charts are usually used concurrently for a simultaneous monitoring of the process mean and process variance. In this article, we propose a new GWMA chart, called the Max-GWMA chart, which uses a single statistic for a simultaneous monitoring of the proces...

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Bibliographic Details
Published inCommunications in statistics. Theory and methods Vol. 41; no. 12; pp. 2221 - 2241
Main Authors Teh, S. Y., Khoo, Michael B. C., Wu, Zhang
Format Journal Article
LanguageEnglish
Published Philadelphia, PA Taylor & Francis Group 15.06.2012
Taylor & Francis
Taylor & Francis Ltd
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Summary:Two generally weighted moving average (GWMA) charts are usually used concurrently for a simultaneous monitoring of the process mean and process variance. In this article, we propose a new GWMA chart, called the Max-GWMA chart, which uses a single statistic for a simultaneous monitoring of the process mean and variance. The statistic of the Max-GWMA chart is based on the maximum of the absolute values of two GWMA statistics, one for controlling the mean while the other the variance. We show that the Max-GWMA chart outperforms the combined GWMA chart, in terms of the average run length (ARL), standard deviation of the run length (SDRL) and diagnostic abilities performances. The combined GWMA chart consists of two GWMA charts that are run concurrently, one for monitoring the mean and the other the variance.
ISSN:0361-0926
1532-415X
DOI:10.1080/03610926.2011.558659