Fuzzy optimization for supply chain planning under supply, demand and process uncertainties

نویسندگان

  • David Peidro
  • Josefa Mula
  • Raul Poler Escoto
  • José L. Verdegay
چکیده

In today’s global marketplace, individual firms do not compete as independent entities rather as an integral part of a supply chain. This paper proposes a fuzzy mathematical programming model for supply chain planning which considers supply, demand and process uncertainties. The model has been formulated as a fuzzy mixed-integer linear programming model where data are ill-known andmodelled by triangular fuzzy numbers. The fuzzy model provides the decision maker with alternative decision plans for different degrees of satisfaction. This proposal is tested by using data from a real automobile supply chain. © 2009 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Fuzzy Sets and Systems

دوره 160  شماره 

صفحات  -

تاریخ انتشار 2009