Optimization and Evaluation Methods for Automation of E-Commerce Logistics Networks

In this paper, for the e-commerce logistics network of cargo volume prediction, site closure, network adjustment and comprehensive evaluation and other issues, the establishment of the corresponding mathematical model, based on the prediction results and the handling capacity of each logistics site and the transport capacity of the line to design the logistics network adjustment program, for the e-commerce logistics network for emergency mobilization and structural optimization of the problem to provide a solution. Firstly, the cargo volume of three important routes was predicted using ARIMA and LSTM models, and the weighted combination method was used to obtain the final results. Secondly, the network after site closure was optimized using simulated annealing algorithm to obtain a new line allocation scheme, and the load factor of each line was calculated. Then, the dynamically adjustable network was planned using a multi-objective dynamic decision model. Finally, the importance of each site and line was evaluated using the entropy weighting method TOPSIS model, and the change of the load rate of each line was observed under different random days and disturbance ratios, which was found to have little effect and the model was robust.