The triple bottom line concept highlights that at the intersection of social, environmental, and economic performance there are activities that result in long-term economic benefits and competitive advantage for the firm. Logistics offers great opportunity of recognizing such activities, leading to sustainable supply network management. Optimization of sustainable supply networks for Project Based Enterprises (PBEs) has not deserved great attention in literature. For construction companies, in particular, a different trade-off among the design, procurement, production, and installation requirements can arise for each project and should be properly managed. In this thesis, an optimization model and decision support tool is developed, by linking design features, installation sequence-based constraints and learning-forgetting concepts in production to the supply network configuration. Constraint Programming is adopted in order not to limit model objective and constraints to linear functions.