Optimization of Closed-loop Supply Chain Network for Vegetable and Fruit Agricultural Products Considering Fuzzy Demand and Purchasing Price

Due to the seasonal and perishable nature of vegetable and fruit agricultural products, which can easily cause sudden changes in demand and prices in a short period of time, a decision model framework was established to address the uncertainty issues related to vegetable and fruit  agricultural products. The framework consists of triangular fuzzy numbers, a closed-loop supply chain network model for vegetable and fruit agricultural products, and an optimization model based on chance constrained programming, while considering demand, return rate,utilization rate. And with the goal of minimizing the sum of fixed costs, transportation costs, purchasing costs, packaging costs, storage costs, processing cost and disposal costs in the supply chain network, the model is validated through two scenarios: fuzzy demand and deterministic demand. The model calculation results indicate that under certain other conditions, the return rate is positively correlated with the total cost; The relationship between utilization rate and total cost may be either positive or negative, influenced by the combined effects of transportation costs and disposal costs in reverse logistics activities; The cost increase and facility selection corresponding to adjacent demand proportion nodes are different. Proved the effectiveness and feasibility of the model.