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In this article, we investigate the optimization of sustainable supply chain network (SCN) strategic design problem. The proposed SCN is composed of four echelons including plants, distribution centers, cross-docks and retailers. The problem has been mathematically formulated as a multi-objective optimization model that aims to minimize the total costs and environmental effect. To tackle the addressed problem, multi-objective desirabilitybased simulated annealing algorithm (MODBSA) is proposed. Then, MODBSA is compared with two common meta-heuristic algorithms. Subsequently, the known method called response surface methodology with the multi-objective decision making(MODM) approach is employed to tune the parameters. Finally, MODBSA and other approaches are compared together in terms of some performance measures. Index Terms Supply chain network design, Sustainability, optimization, multi-objective desirability-based simulated annealing

A Robust Multi-objective Desirability-based Simulated Annealing for Optimization of Sustainable Supply Chain Network Strategic Design