Designing a multi-echelon closed-loop supply chain with disruption in the distribution centers under uncertainty

According to the need for further cost reduction and improving process of organization in direction customer demand, concept supply chain has become increasingly significant organizations seek expand this within their organizational framework. In regard, efficient planning distribution products by considering disruption received more attention recently. study a multi-objective mixed-integer linear programming model is developed green multi-echelon closed-loop network design under uncertainty. Moreover, partial considered centers where not been studied enough previous works. The fuzzy credibility constraint approach applied cover following, ?-constraint method presented solve validate small-sized instances. Non-dominated Sorting Genetic Algorithm solving large-sized problems. Results show that uncertainty crucial impact on objective functions increase increasing level uncertainty, which was observed all categories. Furthermore, proposed NSGA-? best tool deal with large-size problems EC lacks necessary efficiency.