Abstract: To reduce risks of unpredicted events and increase the efficiency of the supply chain, planning under uncertainties and considering flexibility have become essential steps towards a robust supply chain. In this paper, we propose a model with multiple objectives that considers uncertainties and flexibility for designing a network of closed loop supply chain. The proposed model integrates two approaches that are physical programming and scenario-based robust optimization. This model is considered as the first attempt to solve the problem of a closed loop supply chain network design. To illustrate the usability of the proposed model, we provide a numerical experiment for designing a network of CLSC of the tire industry in Saudi Arabia..
Keywords: Physical programming, Uncertainties, Product substitution, Closed loop supply chain
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