Designing a New Location-Allocation and Routing Model with Simultaneous Pick-Up and Delivery in a Closed-Loop Supply Chain Network under Uncertainty

Background: In this paper, a new closed-loop supply chain (CLSC) network model, including economic, social and environmental goals, is designed. This paper’s primary purpose to meet customers’ uncertain demands in different scenarios where the robust-fuzzy-probabilistic method has been used estimate exact demand. Furthermore, strategic tactical decisions, such as vehicle routing, facility location optimal flow allocation CLSC network, are considered, features queuing system product distribution time window delivery considered. Methods: To solve problem, NSGA II MOPSO have used. Results: The results of solving numerical examples larger sizes show that effects decrease increase, design costs total (SCN) increase. Moreover, more efficient than problem-solving achieving comparison indicators. Conclusions: sensitivity analysis with increasing uncertainty rate, SCN, amount greenhouse gas emissions maximum traffic