English  |  正體中文  |  简体中文  |  Items with full text/Total items : 87250/116256 (75%)
Visitors : 23291376      Online Users : 90
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/109232
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/109232


    Title: A Double Sampling Scheme for Process Mean Monitoring
    Authors: 楊素芬
    Yang, Su-Fen;Wu, Sin-Hong
    Contributors: 統計系
    Keywords: Control charts;Monitoring;Process control;Exponential distribution;Electronic mail;Gaussian distribution;Manufacturing processes
    Date: 2016-12
    Issue Date: 2017-04-26 17:04:26 (UTC+8)
    Abstract: Mean control charts are effective tools for detecting mean shifts of an interesting quality variable in both manufacturing processes and service processes. Much of the data in service industries come from processes exhibiting non-normal or unknown distributions. The commonly used Shewhart mean control charts, which depend heavily on the normality assumption, are not appropriately used here. This paper thus proposes an asymmetric EWMA mean chart with a double sampling scheme (DS EWMA-AM chart) for monitoring mean shifts of a process with variables data. Furthermore, we explore the sampling properties of the new mean monitoring statistics, and investigate the out-of-control detection performance of the proposed DS EWMA-AM chart using average run lengths. The detection performance of the DS EWMA-AM chart and that of the single sampling EWMA mean (SS EWMA-AM) chart are then compared, with the former showing superior out-of-control detection performance versus the latter. We also compare the out-of-control mean detection performance of the proposed chart with those of non-parametric mean control charts, like the likelihood ratio-based distribution-free NLE, CWE, SS EWMA-AM, the SL, the SU, and the VSS and DSVSI X control charts by considering cases in which the critical quality characteristic presents normal, double exponential, uniform, chi-square and exponential distributions, respectively. Comparison results show that the proposed control chart always outperforms the existing mean control charts. We hence recommend employing the DS EWMA-AM chart. A numerical example of a service system for a bank branch in Taiwan is used to illustrate the application of the proposed mean control chart. Finally, we give a discussion for future study.
    Relation: IEEE Access , Volume: PP, Issue: 99
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1109/ACCESS.2017.2660239
    DOI: 10.1109/ACCESS.2017.2660239
    Appears in Collections:[統計學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    07835170.pdf1069KbAdobe PDF368View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback