Abstract
ABSTRACTThe moving average (MA), exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts are popular control charts to detect small shifts quickly in process parameters. In this study, we evaluate the performance of the EWMA chart for monitoring exponentially distributed quality characteristics based on moving average statistics. The average run length and some other associated characteristics are used as performance measures of the chart. The concept of using the probability of detection for the performance assessment of this chart has been criticized in this study. A real-life application is also provided for practical consideration.
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