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Monitoring process mean level using auxiliary information

机译:使用辅助信息监控过程平均水平

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In this study, a Shewhart-type control chart is proposed for the improved monitoring of process mean level (targeting both moderate and large shifts which is the major concern of Shewhart-type control charts) of a quality characteristic of interest Y. The proposed control chart, namely the M_r chart, is based on the regression estimator of mean using a single auxiliary variable X. Assuming bivariate normality of (Y, X), the design structure of M_r chart is developed for phase I quality control. The comparison of the proposed chart is made with some existing control charts used for the same purpose. Using power curves as a performance measure, better performance of the proposed M_r chart is observed for detecting the shifts in mean level of the characteristic of interest.
机译:在这项研究中,提出了一种Shewhart型控制图,以改善对目标质量Y的过程平均水平(以中等和大班次为目标,这是Shewhart型控制图的主要关注点)的改进监控。图表,即M_r图表,是基于使用单个辅助变量X的均值回归估计量得出的。假设(Y,X)的二元正态性,则开发了M_r图表的设计结构以进行I期质量控制。建议的图表与用于相同目的的一些现有控制图进行比较。使用功率曲线作为性能度量,可以观察到所提出的M_r图具有更好的性能,可以检测到所关注特征的平均水平的变化。

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