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題名 A New Statistical Control for Multiple Stream Processes 作者 楊素芬
Yang, Su-Fen
Wu, Meng-Chun
Shiau, Yuo-Hsien
Huang, Chia-Hu
Huang, Tzee-Ming貢獻者 統計系 日期 2021-10 上傳時間 2022-04-12 摘要 A multiple stream process is a process that generates several streams of output. From the statistical process control standpoint, the quality variable and its specifications are the same in all streams. A filling machine with eight identical filling heads producing the cosmetic bottle covers every 4 hours. The cosmetic bottle cover weights are measured. The cover weights from each filling machine should have the same distributions and specifications. Hence, the production process is a kind of multiple stream process. In order to monitor whether the processes are in-control or out-ofcontrol, we propose the EWMA mean and covariance control charts. We found that the proposed EWMA mean and covariance control charts perform well. 關聯 The 30th South Taiwan Statistics Conference and 2021Chinese Institute of Probability and Statistics Annuals Meeting, National KS University 資料類型 conference dc.contributor 統計系 - dc.creator (作者) 楊素芬 - dc.creator (作者) Yang, Su-Fen - dc.creator (作者) Wu, Meng-Chun - dc.creator (作者) Shiau, Yuo-Hsien - dc.creator (作者) Huang, Chia-Hu - dc.creator (作者) Huang, Tzee-Ming - dc.date (日期) 2021-10 - 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/140.119/139862 - dc.description.abstract (摘要) A multiple stream process is a process that generates several streams of output. From the statistical process control standpoint, the quality variable and its specifications are the same in all streams. A filling machine with eight identical filling heads producing the cosmetic bottle covers every 4 hours. The cosmetic bottle cover weights are measured. The cover weights from each filling machine should have the same distributions and specifications. Hence, the production process is a kind of multiple stream process. In order to monitor whether the processes are in-control or out-ofcontrol, we propose the EWMA mean and covariance control charts. We found that the proposed EWMA mean and covariance control charts perform well. - dc.format.extent 298 bytes - dc.format.mimetype text/html - dc.relation (關聯) The 30th South Taiwan Statistics Conference and 2021Chinese Institute of Probability and Statistics Annuals Meeting, National KS University - dc.title (題名) A New Statistical Control for Multiple Stream Processes - dc.type (資料類型) conference -
