An Approach to Study the Value of Information Sharing in a Serial Supply Chain with Decentralised Decision

In this paper, we study two information shared simultaneously, the first one coming from the upstream and the second coming from the downstream of the supply chain. We treat the case of a multiechelons multi-products serial supply chain. This chain is made up of one supplier, one warehouse, one retailer and several customers. Thus, we develop a model to study various scenarios of information sharing. We focus our approach on the decentralised decision, in which, the goal of each link is to minimise its own logistic cost. The difference between these costs shows the value of the studied information sharing and represents the contribution of a scenario compared to another. The proposed model is solved by ILOG CPLEX integrated in JAVA program. The output results are the optimal cost in each studied situation. The numerical experimentation proves to validate contribution of our approach.