Based on Time Series Analysis, Emergency Transportation and Structural Optimization of E-Commerce Logistics Network Parcels

This paper discusses the optimization problem of e-commerce logistics networks, which mainly includes four issues: 1) establishing a model for predicting the volume of goods on each route; 2) calculating and distributing the volume of goods on the DC5-related routes to achieve load balancing on each route; 3) optimizing the logistics network structure to achieve load balancing on each route while reducing the number of routes with significant changes in transportation volume; 4) evaluating the importance of logistics sites and routes, proposing improvement plans, including the construction of new logistics sites and routes, and considering the robustness of the network. For issue 1, the paper predicts the volume of goods on each route and presents specific predictions for each route. For issue 2, linear programming or integer programming models are used to allocate the volume of goods on DC5-related routes, calculating the number of routes affected by changes in transportation volume due to the closure of DC5 and the network load. For issue 3, the allocation plan is optimized, and the number of routes affected by changes in transportation volume due to the closure of DC9 and the network load is calculated, providing the quantity, volume of goods, and load during normal and abnormal flow, and calculating the increase or decrease in the number of routes on a daily basis. For issue 4, the importance of logistics sites and routes is evaluated, improvement plans are proposed, including the construction of new logistics sites and routes.