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Discrimination of Out-of-Control Condition Using AIC in (x, s) Control Chart

机译：使用AIC IN（X，S）控制图来辨别控制权况

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The x control chart for the process mean and either the R or s control chart for the process dispersion have been used together to monitor the manufacturing processes. However, it has been pointed out that this procedure is flawed by a fault that makes it difficult to capture the behavior of process condition visually by considering the relationship be- tween the shift in the process mean and the change in the process dispersion because the respective characteristics are monitored by an individual control chart in parallel. Then, the (x, s) control chart has been proposed to enable the process managers to monitor the changes in the process mean, process dispersion, or both. On the one hand, identify- ing which process parameters are responsible for out-of-control condition of process is one of the important issues in the process management. It is especially important in the (x, s) control chart where some parameters are monitored at a single plane. The previous literature has proposed the multiple decision method based on the statistical hypothesis tests to identify the parameters responsible for out-of-control condition. In this paper, we propose how to identify pa- rameters responsible for out-of-control condition using the information criterion. Then, the effectiveness of proposed method is shown through some numerical experiments.
机译：用于过程分散的过程均值的X控制图表均值和R或S控制图以监测制造过程。然而，已经指出，该过程通过考虑在过程均值的变化和过程分散中的变化而难以直观地捕获过程条件的行为，这使得这一程序缺乏。通过单独的控制图并行监视特征。然后，已经提出了（X，S）控制图来使能过程管理器能够监视过程中的变化，过程分散或两者。一方面，识别哪个进程参数负责过程的失控条件是过程管理中的重要问题之一。在（X，S）控制图中尤其重要，其中一些参数在单个平面上监视。以前的文献已经提出了基于统计假设试验的多种决策方法，以识别负责控制失控条件的参数。在本文中，我们提出了如何使用信息标准识别负责控制不符条件的PA-RAMETER。然后，通过一些数值实验显示所提出的方法的有效性。

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