This research work develops a decision support model for a network design problem concerning

a spare parts closed loop supply chain. It involves the formulation of an optimization model

that takes on a mid to long term planning perspective and covers decisions that have lasting

and binding impact on organizational performance. These decisions include investment, location

assignment, and inventory considerations for the dierent echelons in the supply chain. The

computational studies conducted on the model likewise examine various scenarios and inventory

management policies, and their corresponding cost implications to the supply chain.