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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/139862

Title:	A New Statistical Control for Multiple Stream Processes
Authors:	楊素芬 Yang, Su-Fen Wu, Meng-Chun Shiau, Yuo-Hsien Huang, Chia-Hu Huang, Tzee-Ming
Contributors:	統計系
Date:	2021-09
Issue Date:	2022-04-12
Abstract:	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.
Relation:	The 30th South Taiwan Statistics Conference and 2021Chinese Institute of Probability and Statistics Annuals Meeting, National KS University
Data Type:	conference
Appears in Collections:	[統計學系] 會議論文

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