Returns Policy Model For Supply Chain With E-marketplace In Fuzzy Environment

With the development of the network technology and electronic commerce, more and more people started on-line shopping. E-market gradually becomes a key factor for a company especially because of the Internet global openness, product selling poorly in a little area may still have certain need especially on a global scale. In this case, integrates the electronic market to the supply chain management, the company can win in the competition.On the other hand, the information of a probability distribution of the goods market demand can not be gotten due to lack of historical data. It is reasonable to give a subjective assessment by expert to the market demand.This thesis gives a system framework and model of returns policy for supply chain with e-marketplace in fuzzy environment. This paper characterizes the traditional and e-market demand of goods as fuzzy variables put forward by uncertainty theory. A fuzzy expected value model is formulated for this problem. To solve the problem, by simulating the decision process a hybrid algorithm based on particle swarm optimizer (PSO), neural network and fuzzy simulations is developed and numerical example is provided to illustrate the effectiveness of the algorithm.