Memory‐type control charts play a significant role to identify slight changes in the parameters of the production process. In this article, we have proposed a new cumulative sum chart that utilizes the statistic of the homogeneously weighted moving average chart. The performance of the proposed chart is studied using Monte Carlo simulations. The proposed chart is compared with some existing charts under different run length profiles. The run length profile comparisons reveal that the proposed chart performs superior as compared to the existing control charts. A real‐life application using a manufacturing process dataset is also part of this study.

中文翻译：

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HWMA-CUSUM混合均值图表及其在制造过程中的应用

内存类型控制图在识别生产过程中的参数的细微变化方面起着重要作用。在本文中，我们提出了一个新的累积总和图，该图利用了均匀加权移动平均图的统计信息。建议的图表的性能使用蒙特卡洛模拟进行研究。将拟议的图表与不同游程配置文件下的一些现有图表进行比较。行程曲线轮廓比较显示，与现有的控制图相比，拟议的图的性能更高。使用制造过程数据集的实际应用程序也是本研究的一部分。