A comprehensive framework for sustainable closed-loop supply chain network design

Many companies face challenges in reducing their supply chain costs while increasing sustainability and customer service levels. A comprehensive framework for a sustainable closed-loop (CLSC) network is practical solution to these challenges. Hence, the first time, this study considers an integrated multi-objective mixed-integer linear programming (MOMILP) model design CLSC networks with cross-docking, location-inventory-routing, time window, supplier selection, order allocation, transportation modes simultaneous pickup, delivery under uncertainty. An intelligent simulation algorithm proposed produce data probabilistic distribution functions feasible space. In addition, fuzzy goal approach solve MOMILP Eight small medium-size test problems are used evaluate performance of simulated GAMS software. The results obtained from sensitivity analysis show efficacy model.