Meiho University Institutional Repository:Item 987654321/1315
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 2878/3796 (76%)
Visitors : 3954863      Online Users : 321
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


    Please use this identifier to cite or link to this item: http://ir.meiho.edu.tw/ir/handle/987654321/1315


    Title: Determining the Governance Controllability of Organizations in Supply Chain Management Using Fuzzy Expert System
    Authors: Yu-Chuan Lin;Che-Cheren Lin;Chien-Chung Lin
    Contributors: Department of Business Administration, Meiho University, Taiwan;Department of Software Engineering, National Kaohsiung Normal University, Taiwan;Graduate Institute of Business and Management, Meiho University, Taiwan
    Date: 2011
    Issue Date: 2011-10-04T08:00:55Z (UTC)
    Abstract: Transaction cost theory has been used to explain the governance of the organization supply chain for decades. However it can not be used to explain the governance change of the organization supply chain in Taiwan's hi-tech industry. Based on contingency theory, a precious study then adopted two factors to explain the governance changes between upstream and upstream players in a supply chain. The two factors proposed in the study are relative profitability and technology complexity. The previous used a binary value (either 1 or 0) to describe the factors. It however can not describe the gradual changing value between 0 and 1, e.g., 0.12, 0.23, 0.85, etc. To overcome this problem, this study uses fuzzy logic to deal with these gradual change values and proposed a fuzzy-inference-based expert system to determine the governance controllability among the organizations in a supply chain. In the proposed fuzzy expert system, the input fuzzy variables are relative profitability and technology complexity. The output fuzzy variable is governance controllability. Nine fuzzy rules are used in the fuzzy expert system. We use Java programming language to implement the system. We also conducted 20 simulation cases to validate the proposed system and discuss the simulation results. Concluding remarks are finally provided at the end of this paper.
    Relation: Proceedings of the 15th WSEAS international conference on Computers World Scientific and Engineering Academy and Society (WSEAS) Stevens Point, Wisconsin, USA ©2011
    Appears in Collections:[Department of Business Administration] Conference Papers

    Files in This Item:

    File Description SizeFormat
    index.htmlDetermining the governance controllability of organizations in supply chain management using fuzzy expert system0KbHTML1997View/Open


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


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