Supply chain planning under uncertainty: a fuzzy linear programming approach

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.