Supply chain network design under uncertainty

This paper proposes a fuzzy programming model and a hybrid intelligent algorithm to design supply chain network. Existing researches on these problems are either restricted on deterministic environment or only address stochastic parameters. In this paper, we consider supply chain network design problem in fuzzy environment. In practise, there is generally a predetermined cost which decision-maker can accept, the objective of this paper is to maximize the degree of credibility of satisfying the event that the total cost is less than that given cost. Moreover, a genetic algorithm based on fuzzy simulation is developed to solve the proposed fuzzy models.