A Robust Optimization to Closed-Loop Supply Chain Network Design

This study is to develop an original robust mixed integer linear programming that is initially transformed from a novel uncertain programming problem to optimally design a closed-loop supply chain network. Using a numerical example, the performance of the model is tested in terms of computational results and robustness, in a comparative perspective. Numerical results show that, on average, the variance of the profit is decreased by approximately 100%.

Keywords:

Closed-loop supply chain , Robust optimization , Uncertainty