When facing complex optimization models, it is relevant to use the best tools available to tackle each model or sub-model. A multi-agent system allows for that much flexibility. Extending an earlier study, this paper proposes a Collaborative Agent Teams (CAT) approach to tackle multi-period multi-product supply chain network design problems, for which new best results are obtained.