this, investors bear a high risk when making decisions in the designphase of reverse production, due to the high costs associated withtransportation, potential facility locations and other factors. Forcompanies in reverse production and recycling, the initial invest-ment is a crucial factor that affects all subsequent decisions: thelayout of the transportation system and the optimal sites andlocations of important infrastructures, such as inspection centers,remanufacturing plants and recycling centers. In fact, the major-ity of companies eventually expand their transportation systems,instead of opening new facilities, as it is more cost effective. Theyinitially operate from a region that secures a higher profit, whileoutsourcing several operations until their business grows, which iswhen they choose to expand. Transportation, among others, is oneof the operations that companies may choose to outsource. Theprimary reasons for outsourcing include labor cost savings, assetreduction as well as workload expansion. On the other hand, thereason for not opting for outsourcing is mainly related to loss ofmanagement control and disruption of company integrality [16].Thus, in this paper, we address the important matter of networkdesign for an RL system. Our focus has been concentrated on thetransportation system of the RL network design with the objectiveof developing a model that closely simulates real life circumstances.Our new model was developed to include different transporta-tion options that could be selected to transfer the items or goodsfrom collection centers to inspection centers and take compo-nents from inspection centers to remanufacturing plants by using