Abstract: The use of single objective model in which only the cost is considered in multi-echelon inventory systems does not suffice to raise the total performance of a supply chain. In this paper, we propose an optimization model in which the cost, elapsing time and the demand satisfaction rate are considered in a combined way. For the case where the capacity and supply are limited under the condition of multi classes, random demand and complex link relationships, a two-level solution algorithm is presented. This algorithm enables us to find out the optimal strategy of sites and atthe same time deal with the logistic structure using a evolutionary multi objective optimization method and simulation approach. Numerical examples were designed to demonstrate the validity of the algorithm, and the results show that the multi objective optimization model can significantly improve the total performance of supply chains.