Logistics network configuration for fresh agricultural products

This paper optimized the logistics network configuration of fresh agricultural products, consisting of original points, pre-cooling stations, distribution centers and demand points. Considering the time-sensitive features of fresh agricultural products and their empirical decay index, a nonlinear programming model was established. The objective is to minimize overall cost related to the logistics process. A genetic algorithm was designed to solve the proposed model. Finally, a case study was analyzed and the result shows the validity of the model and algorithm.