Abstract

During the last decade, reverse logistics networks have grown dramatically within many supply chains in different industries. Several evolving factors including economic climate, green image, environment protection laws and social respolities force companies to revise their strategies. In this paper, a tire forward and reverse supply chain is designed, and a multi-objective, multi-period, multi-product mixed integer linear programming model considering uncertainty is developed. Moreover, a novel idea of integrating customer relationship management concept and supply chain management is proposed and incorporated into the mathematical modeling framework. The proposed scenario-based multi-objective model is then solved following robust optimization and revised multi-choice goal programming approaches. In order to discuss the managerial implications of the model and its results, the realization rates of the objectives, considering their importance to the supply chain, are illustrated. The model is implemented in LINGO 9 software package and solved utilizing the branch-and-bound method. The results demonstrate the applicability of the model in real world situations.

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