%0 Journal Article
%T 基于ARIMA-LSTM组合模型的物流网络应急调运与优化研究——以山东省临沂市为例
Research on Emergency Mobilisation and Optimisation of Logistics Network Based on ARIMA-LSTM Combined Model—Taking Linyi City, Shandong Province as an Example
%A 赵雨晴
%A 徐一诺
%J Advances in Applied Mathematics
%P 436-449
%@ 2324-8009
%D 2025
%I Hans Publishing
%R 10.12677/aam.2025.143130
%X 本文旨在利用ARIMA-LSTM组合预测模型和多目标线性规划模型，针对临沂市物流网络进行调运与优化研究。结合时间序列分析和深度学习预测，优化物流网络运作，实现包裹正常流转和线路负荷均衡，最后结合熵权法的TOPSIS模型评价物流场地，确定物流场地的优劣顺序，以指导物流网络的优化和调整。通过精确预测货物流动情况和确定最佳调运路径，提高物流效率、促进行业发展、实现成本降低，为临沂市及山东省物流行业发展提供科学依据和决策支持。
The purpose of this paper is to conduct a study on the movement and optimisation of the logistics -htnetwork for Linyi City by using ARIMA-LSTM combined forecasting model and multi-objective linear programming model. Combining time series analysis and deep learning prediction, it optimises the operation of logistics network to achieve the normal flow of parcels and balanced line loads, and finally evaluates the logistics sites by combining the TOPSIS model with entropy weighting method and determines the order of advantages and disadvantages of the logistics sites, in order to guide the optimisation and adjustment of the logistics network. By accurately predicting the flow of goods and determining the optimal transfer path, it improves the logistics efficiency, promotes the development of the industry, achieves cost reduction, and provides scientific basis and decision support for the development of the logistics industry in Linyi City and Shandong Province.
%K ARIMA-LSTM组合模型，
%K 时间序列，
%K 线性规划
ARIMA-LSTM Combined Model
%K Time Series
%K Linear Programming
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=110209