Designing a Resilience Closed-Loop Shrimp Supply Chain Network Under Uncertainty: A Sustainable Mmulti-Objective Model

In this paper, the problem of designing a resilience closed-loop shrimp supply chain network is studied through developing a mixed integer linear programming (MILP) model. This research considers the shrimp supply chain as a set of suppliers (fishing and aquaculture centers), shrimp processing factories, distribution centers, wholesalers, markets, shrimp waste powder factory and shrimp waste powder market. The three objective functions introduced in this mathematical model are aimed at 1) minimizing the total costs of the network, including establishment, transportation and traceability costs, 2) maximizing sustainability by improving the employment rate, and 3) maximizing the resilience of the supply chain. Finally, the model has been analyzed considering the uncertainty in the demand parameter. The model is solved using the improved version of the augmented constraint method (AUGMECON) using GAMS software and Pareto efficient solutions are found. In order to find the most suitable solution among the Pareto solutions, TOPSIS method is utilized.