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    题名: Monitoring process location and dispersion simultaneously using a control region
    作者: 楊素芬;陳立榜
    Yang, Su-Fen
    Chen, Li-Pang
    Muzayyanah, Syamsiyatu
    Wang, Bin
    Jiang, Ting-An
    Gan, Shengjin
    贡献者: 統計系
    日期: 2022-01
    上传时间: 2022-04-12
    摘要: Control charts are effective tools for detecting out-of-control conditions of process parameters in manufacturing and service industries. The development of distribution-free control charts is important in statistical process control when the process quality variable follows an unknown or a non-normal distribution. This research thus proposes to use a distribution-free technology to establish a new control region based on the exponentially weighted moving average median statistic and exponentially weighted moving average interquartile range statistic for simultaneously monitoring the process location and dispersion and further sets up a corresponding new control chart. We compute the out-ofcontrol average run length to evaluate out-of-control detection performance of the proposed control region and also compare the proposed control region with some existing location and dispersion control charts. Results show that our proposed chart always exhibits superior detection performance when the shifts in process location and/or dispersion are small or moderate. The new control region is thus recommended.
    關聯: DYNA, 97(1), 71-78
    数据类型: article
    DOI 連結: https://doi.org/10.6036/10115
    DOI: 10.6036/10115
    显示于类别:[統計學系] 期刊論文

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