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題名 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貢獻者 統計系 日期 2022-01 上傳時間 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 資料類型 article DOI https://doi.org/10.6036/10115 dc.contributor 統計系 - dc.creator (作者) 楊素芬; 陳立榜 - dc.creator (作者) Yang, Su-Fen - dc.creator (作者) Chen, Li-Pang - dc.creator (作者) Muzayyanah, Syamsiyatu - dc.creator (作者) Wang, Bin - dc.creator (作者) Jiang, Ting-An - dc.creator (作者) Gan, Shengjin - dc.date (日期) 2022-01 - dc.date.accessioned 2022-04-12 - dc.date.available 2022-04-12 - dc.date.issued (上傳時間) 2022-04-12 - dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/139856 - dc.description.abstract (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. - dc.format.extent 422 bytes - dc.format.mimetype text/html - dc.relation (關聯) DYNA, 97(1), 71-78 - dc.title (題名) Monitoring process location and dispersion simultaneously using a control region - dc.type (資料類型) article - dc.identifier.doi (DOI) 10.6036/10115 - dc.doi.uri (DOI) https://doi.org/10.6036/10115 -
