ASIA unversity:Item 310904400/8548
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21654487      Online Users : 830
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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8548


    Title: Applying a hidden Markov chain model in quality function deployment to analyze dynamic customer requirements
    Authors: Shieh, JI (Shieh, Jiunn-I);Wu, HH (Wu, Hsin-Hung)
    Contributors: Department of Information Science and Applications
    Keywords: Hidden Markov chain model;Quality function deployment;Customer requirement;Technical measure
    Date: 2009-07
    Issue Date: 2010-03-26 03:03:02 (UTC+0)
    Publisher: Asia University
    Abstract: This study applies a hidden Markov chain model in quality function deployment to analyze dynamic customer requirements from probabilities viewpoints. In reality, the needed probabilities can be computed based upon the experts' opinions for economic conditions as well as the customers' surveys by asking customers' preferences under different economic conditions. Each customer requirement can be analyzed as time goes by. In addition, the changes for each technical measure can be closely examined from time to time. More importantly, when new customers' surveys are conducted and available as well as the new economic conditions analyzed by experts have been updated, both customer requirements and technical measures can be adjusted in a timely basis to reflect and fulfill the dynamic customer requirements. As a result, this proposed approach provides a decision maker to analyze and satisfy both past and present customer needs early on such that a better strategy can be made based upon the most updated customers' surveys and economic conditions.
    Relation: QUALITY & QUANTITY 43 (4): 635-644
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    422.docx0KbUnknown748View/Open
    422.doc36KbMicrosoft Word463View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.

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