Abstract Supply chain design has a significant impact on its efficiency an‎d effectiveness. Therefore, the purpose of this research is to design a four-level supply chain, including manufacturing plants, distribution centers, wholesalers, an‎d retailers, for perishable goods with a fixed shelf life. This problem is presented as a multi-objective mathematical model for strategic an‎d action-level decision-making, including the number, size, an‎d location of distribution centers an‎d wholesalers, determining the flow of goods between different facilities at supply chain levels, calculating inventory levels at warehouses, an‎d selec‎ting the means of transporting goods between chain levels an‎d the goal of the model is to minimize supply chain costs while achieving the shortest travel time for goods in the supply chain. The modeling attempts to address the shortcomings of previous research in the field of perishable goods supply chain design by considering the product life cycle, different rates of product spoilage in different storage facilities, an‎d also considering different methods of product transportation with different rates of product spoilage. Due to the multi-objective nature of the model, this study used the normalized intersectional range solution approach in the form of GAMS software an‎d the CPLEX solver to solve the mathematical model, which has significant advantages compared to other approaches such as goal programming an‎d allows the decision maker to selec‎t the most desirable solution from among the available solutions, considering the degree of importance of different objectives. The developed model an‎d solution approach have been tested in a case study in the protein products industry in Iran. Due to the existence of uncertainty in the real world, gray numbers have been used in this research to represent data uncertainty.

حسن حاله

ابوالفضل شفايي , احسان آزاد فارساني