A New Statistical Control for Multiple Stream Processes

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	2021-09
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)	2021-09
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