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Title page for etd-0811114-111600


URN etd-0811114-111600 Statistics This thesis had been viewed 775 times. Download 3 times.
Author Chao-kun Hung
Author's Email Address No Public.
Department Management Business Administration
Year 2013 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 60
Title APPLYING FUZZY MULTI-CRITERIA DECISION MAKING FOR THE DEALER CHANNEL SELECTION PROBLEM-THE CASE OF A COMPUTER COMPANY
Keyword
  • FMCDM
  • supply chain
  • fuzzy multiple criteria decision making
  • access
  • access
  • fuzzy multiple criteria decision making
  • supply chain
  • FMCDM
  • Abstract In today's IT industry competitive era of globalization, Taiwan's information down the supply chain has been established mutual cooperation and competition in the cultural context, and then complete the sale by the agent path from upstream suppliers of raw materials to the manufacturer through the distributor to the user's downstream supply system; role upstream passage of how to strengthen its core competitiveness, to find the mix of dealers in the era of meager profit, gain market regional advantages, will provide leading sales dominance that can survive and sustainable profitable company.
      Therefore, this study intends to analyze the appropriate dealer selection, analysis to understand the key distributors to invest resources to achieve the best outcome pathway supply chain; the other hand, the ability to explore pathways to develop their core business strategy and key success factors, enhance self-competition ability and opportunity to successfully survive.
      This is a case study of senior business executives questionnaire object, using research methods fuzzy multiple criteria decision making (FMCDM), using six main criteria for selection questionnaire survey and analysis Qinfang selection problems for dealers.
      At the conclusion of this study show that the most important selection dealers for dealers to A (S1) is a large-scale information distributors, sub-dealers C (S3) for the chain of information distributors, dealers come to D (S4) for the net purchase information dealers, and finally the dealer B (S2) for small and medium information dealer.
      This study analyzed the results of the case study company practices, strategies for implementation of the recommendations focus resources and improve operations to help improve competitiveness and operating results.
    Advisor Committee
  • Yu-Chung Tsao - advisor
  • Files indicate in-campus access only
    Date of Defense 2014-07-08 Date of Submission 2014-08-13


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