Supply chain network design based on fuzzy neural network and PSO

This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. After modeling by fuzzy programming, a fuzzy neural network optimized by particle swarm optimization is presented to solve the established model. Through an example, compared with the traditional fuzzy neural network, it is proved that the presented method has advantage in calculation efficiency.