The Application of Mathematics in Logistics Distribution Optimization

The optimization of logistics delivery routes plays a crucial role in reducing transportation costs and improving delivery efficiency. This paper focuses on the problem of logistics delivery route optimization, taking 20 Hema Fresh stores in Pudong New Area, Shanghai as the research object. By analyzing factors such as vehicle load limits and variable costs generated during the delivery process, a suitable mathematical model is constructed. Subsequently, the greedy algorithm and the genetic algorithm are applied to solve the model respectively, aiming to find the optimal delivery routes. The performance differences of different algorithms in practical applications are compared in detail. The research results show that different algorithms have different effects on the optimization of logistics delivery routes and need to be selected according to the actual situation. This paper provides a feasible solution and useful reference for the logistics delivery route planning of Hema Fresh and other fresh - food e - commerce enterprises.