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A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment. (English) Zbl 1187.90184
Summary: This paper models supply chain (SC) uncertainties by fuzzy sets and develops a fuzzy linear programming model for tactical supply chain planning in a multi-echelon, multi-product, multi-level, multi-period supply chain network. In this approach, the demand, process and supply uncertainties are jointly considered. The aim is to centralize multi-node decisions simultaneously to achieve the best use of the available resources along the time horizon so that customer demands are met at a minimum cost. This proposal is tested by using data from a real automobile SC. The fuzzy model provides the decision maker (DM) with alternative decision plans with different degrees of satisfaction.

MSC:
90B90 Case-oriented studies in operations research
90C70 Fuzzy and other nonstochastic uncertainty mathematical programming
90C05 Linear programming
Software:
CPLEX
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