This thesis presents a hybrid decision aid approach for supply networks redesign and planning int the context of multi-site enterprises. This approach is iterative and integrates a mixed integer programming model and a simulation model being at different decisional levels : the mathematical model is a strategic/tactical model and the simulation model is a tactical/operational model. These two models are based on the same modelling of the supply network. First, we describe the elements constituting the decision aid approach. We present two generic mixed integer programming models, multi-product, multi-echelon and multi-period, which search to maximize the profit of the multi-site enterprise. We propose a heuristic approach to solve one of these programs. We describe the developed simulation model. It reproduces the behaviour of the whole supply chain and takes into account the management policies. then, we present the adopted integration methodology. For a problem based on industrial cases, we show that the two models have their role in the decision aid approach and that they contribute both in the search of a good quality network design.