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Articles
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QICID: 20207
Title: Multivariate Monitoring Using an MEWMA Control Chart with Unequal Sample Sizes
Copyright: 2005, ASQ
Author: Kim, Keunpyo; Reynolds, Marion R.
Organization: PRA International, Charlottesville, VA; Virginia Polytechnic Institute and State University, Blacksburg, VA
Subject: Average time to signal,Exponentially weighted moving average control charts (EWMA),Multivariate control charts,Sample size,Statistical process control (SPC),Steady state processes;
Series: Journal of Quality Technology, Vol. 37, No. 4, October 2005, pp. 267-281
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Abstract: [This abstract is based on the authors' abstract.]The multivariate exponentially weighted moving average (MEWMA) control chart is investigated for monitoring the process mean vector when the sample sizes are unequal due to sampling constraints or the need to obtain more information about variables considered more important than others. When dealing with a situation in which one variable is considered more important than others, the sample size for that sample is increased to improve the ability to detect shifts in this variable. This approach is compared with the use of control charts designed to be sensitive to the specific shift direction of interest.
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