Title :
Supply chain planning under uncertainty: a fuzzy linear programming approach
Author :
Peidro, David ; Mula, Josefa ; Poler, Raul
Author_Institution :
Valencia Polytech. Univ., Valencia
Abstract :
A new fuzzy mathematical programming model for supply chain planning under supply, process and demand uncertainty is proposed in this paper. A tactical supply chain planning problem has been formulated as a fuzzy mixed integer linear programming model where data are ill-known and modelled by triangular fuzzy numbers in the setting of possibility theory. The fuzzy model provides alternative decision plans to the decision maker (DM) for different grades of possibility. Finally, the proposed model is tested by using data from a real automobile supply chain.
Keywords :
decision making; fuzzy set theory; linear programming; supply chain management; demand uncertainty; fuzzy linear programming approach; fuzzy mathematical programming model; possibility theory; supply chain planning; triangular fuzzy numbers; Delta modulation; Fuzzy set theory; Linear programming; Mathematical model; Mathematical programming; Mixed integer linear programming; Possibility theory; Process planning; Supply chains; Uncertainty;
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2007.4295528