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  • 标题:Designing Excellent Supply Chain Network in Uncertainty Environment with Fuzzy Logic
  • 本地全文:下载
  • 作者:Mostafa Maleki Someah Lu ; Alireza Irajpour ; Naser Hamidi
  • 期刊名称:International Journal of Business and Management
  • 印刷版ISSN:1833-3850
  • 电子版ISSN:1833-8119
  • 出版年度:2011
  • 卷号:6
  • 期号:4
  • 页码:241
  • DOI:10.5539/ijbm.v6n4p241
  • 出版社:Canadian Center of Science and Education
  • 摘要:In today’s global marketplace, individual firms do not compete as independent entities rather as an integral part of
    a supply chain. Therefore, coordination and integration of key business activities undertaken by an enterprise, is of
    greatest value. For succeed in this competitive world, organizations must focus on their excellence position from
    EFQM perspective. This paper proposes a fuzzy mathematical programming model for supply chain planning
    which considers excellence score, geographical score and capacity of each supplier and manufacturer and
    distributor. The model has been formulated as a fuzzy mixed-integer linear programming model where some data
    are fuzzy and modeled by triangular fuzzy numbers. This paper has been done in Sazeh Gostar Saipa Company in
    Iran. This company supplies required automobile parts for SAIPA manufacturing group. Results show that this
    model can be applied for designing excellent supply chain network and has significant managerial implications.
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