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    题名: 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
    贡献者: 統計系
    日期: 2021-09
    上传时间: 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
    数据类型: conference
    显示于类别:[統計學系] 會議論文

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