The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart |
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| Authors: | Ming Ha Lee |
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| Institution: | 1. School of Engineering and Science , Swinburne University of Technology , Sarawak , Malaysia mhlee@swinburne.edú.my |
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| Abstract: | A multivariate synthetic exponentially weighted moving average (MSEWMA) control chart is presented in this study. The MSEWMA control chart consists of a multivariate exponentially weighted moving average (MEWMA) control chart and a conforming run length control chart. The average run length of the MSEWMA control chart is obtained using a Markov chain approach. From the numerical comparisons, it is shown that the MSEWMA control chart is more efficient than the multivariate synthetic T 2 control chart and the MEWMA control chart for detecting shifts in the process mean vector. |
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| Keywords: | Average run length Markov chain approach Multivariate exponentially weighted moving average chart Synthetic chart |
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