المستخلص: |
The Multivariate Exponentially Weight Moving Average (MEWMA) chart is a multivariate quality control chart, which has the advantage of detecting small shifts in the process mean. Because of the improved process technology usually results in a smaller shifts in out -of- control state, this makes it desirable to use statistical process control charting schemes that are more effective in detecting small shifts in the process mean. Therefore, the MEWMA control chart is an attractive technique for monitoring the output of such a process This paper develops the MEWMA control charts, The general approaches for the average run length (ARL) determination of control charts are simulation, integral equation approximation, and Markov chain approximation. Each approach has been widely used and proved to achieve good results. In this paper, we will introduce these approaches and use these approaches to determine the (ARL) performance of a MEWMA chart.
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