A new adaptive control chart for monitoring process mean and variability
A new adaptive control chart for monitoring process mean and variability
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DOI：
10.1007/s00170-011-3662-2
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发表时间：
2011-12
期刊：
影响因子：
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通讯作者：
Jiujun Zhang;Zhonghua Li;Zhaojun Wang
中科院分区：
文献类型：
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作者：
Jiujun Zhang;Zhonghua Li;Zhaojun Wang
传统上，anchart用于控制过程均值，anRchart用于控制方差。然而，这些图表对过程中的小变化不敏感。如果目标是快速检测过程变化，则可以考虑自适应图表。在本文中，我们提出了一种新的自适应单控制图，它集成了指数加权移动平均过程与广义似然比检验统计量，共同监测过程的均值和变异性。这种新的图表是有效的，在检测移动的过程均值，增加或减少的过程方差，或导致两者的组合效果的干扰。
Traditionally, anchart is used to control the process mean, and anRchart is used to control the variance. However, these charts are not sensitive to the small shifts in the processes. The adaptive charts might be considered if the aim is to detect process changes quickly. In this paper, we propose a new adaptive single control chart which integrates the exponentially weighted moving average procedure with the generalized likelihood ratio test statistics for jointly monitoring both the process mean and variability. This new chart is effective in detecting the disturbances that shift the process mean, increase or decrease the process variance, or lead to a combination of both effects.