Random Optimization of the Green Closed Chain Supply Chain of Perishable Products

Abstract

The nature of the market has changed in many products so that manufacturers are increasingly forced to reconsider their supply chain strategies. In particular, perishable products can mentioned that require better and more accurate planning in terms of inventory and distribution in the supply chain. This paper presents a mathematical model for designing a supply chain network for perishable products. The supply chain includes a set of factories, warehouses, customers and collection centers. The objectives of this mathematical model are to reduce the total cost of the supply chain and reduce environmental pollution. In order to evaluate the performance of the mathematical model, three scenarios have been considered. In the first scenario, the reduction of product prices and in the second scenario, the stability of product prices and in the third scenario, the increase of product prices is considered. Then these scenarios are probably included in the mathematical model. The analysis performed in the study of the effect of each scenario shows that the increase in product prices has a more severe impact on environmental pollution. There is also always a conflict between costs and the environmental impact of the supply chain.