A mixed exponentially weighted moving average (EWMA)–progressive mean (PM) control chart (regarded as MEP) has been recently proposed in the literature for monitoring the process mean. Unfortunately, the variance of MEP statistic is incorrect. In this article, we provide the correct variance of charting statistic along with the corresponding control limits and we also evaluate the run‐length characteristics of the MEP chart. A comparison study with existing control charts indicates that the MEP chart is more effective for small to moderate process shifts. However, the PM, which is a special case of it, and the EWMA charts outperform the MEP chart in detecting small to moderate and large shifts, respectively.

中文翻译：

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在逐步设置下开发指数加权移动平均线图时：一种有效的制造过程方法－讨论

最近在文献中提出了一种混合指数加权移动平均值（EWMA）-渐进平均值（PM）控制图（称为MEP）来监视过程平均值。不幸的是，MEP统计量的方差不正确。在本文中，我们提供了图表统计信息的正确方差以及相应的控制限制，并且我们还评估了MEP图表的游程长度特征。与现有控制图的比较研究表明，MEP图对于中小规模的工艺班次更有效。但是，PM（这是它的特例）和EWMA图在检测小到中和大偏移时分别胜过MEP图。