Optimizing A Fuzzy Multi-Objective Closed-loop Supply Chain Model Considering Financial Resources using meta-heuristic

This paper presents a multi-objective mathematical model which aims to optimize and harmonize supply chain reduce costs, improve quality, achieve competitive advantage position using meta-heuristic algorithms. The purpose of optimization in this field is increase quality customer satisfaction production time related prices. present research simultaneously optimized the multi-product multi-period modes. presented was firstly validated. algorithm's parameters are then adjusted solve with simulated annealing (MOSA) algorithm. To validate designed performance, we some examples General Algebraic Modeling System (GAMS). MOSA algorithm has achieved an average error %0.3, %1.7, %0.7 for first, second, third objective functions, respectively, less than 1 minute. 1847 seconds GAMS software; however, couldn't reach optimal solution large problem reasonable computational time. 2% each three objectives under study. These show effectiveness solving introduced paper.