淡江大學機構典藏:Item 987654321/20665
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3939952      Online Users : 1015
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/20665


    Title: Process capability analysis for a multi-process product
    Authors: Chen, Kuen-suan;Hsu, Chang-hsien;吳錦全;Wu, Chin-chuan
    Contributors: 淡江大學統計學系
    Keywords: Multi-process capability;Non-normal distribution;Process capability indices
    Date: 2006-02-01
    Issue Date: 2009-11-30 12:55:50 (UTC+8)
    Publisher: Springer
    Abstract: In this paper, we propose a flow path to evaluate the process capability of an entire product composed of multiple process characteristics. There are six steps in the flow path. Whether process data comply with a normal distribution or a non-normal distribution, the flow path can be applied. Based on Cpu, Cpl, and Cpn, the research aims to develop a multi-process capability analysis chart (MPCAC) model to evaluate process capability in a normal distribution. Similarly, the research aims to define non-normal multi-process capability analysis chart (NMPCAC) to evaluate process capability in a non-normal distribution based on Npu, Npl, and Npn.
    Relation: International Journal of Advanced Manufacturing Technology 27(11-12), pp.1235-1241
    DOI: 10.1007/s00170-004-2312-3
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML183View/Open
    Process capability analysis for a multi-process product.pdf422KbAdobe PDF1View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback