Fuzzy optimization for supply chain planning under supply, demand and process uncertainties. (English) Zbl 1279.90206

Peidro, David; Mula, Josefa; Poler, Raúl; Verdegay, José-Luis

Fuzzy Sets Syst. 160, No. 18, 2640-2657 (2009).

Summary: 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 and modelled 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.

MSC:

90C70	Fuzzy and other nonstochastic uncertainty mathematical programming
90B30	Production models
90B06	Transportation, logistics and supply chain management

Keywords:

fuzzy mathematical programming; supply chain planning; uncertainty modelling; fuzzy sets

Software:

CPLEX

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