基于货量预测与优化调度的电商物流网络问题研究

Research on E-commerce Logistics Network Problem Based on Cargo Forecasting and Optimized Scheduling

本文指出电商物流网络是由物流场地和运输线路组成的,在用户下单量受到促销活动和突发事件等因素影响时,可能导致包裹数量变化。为了提高效率和降低运营成本,管理者需要预测各物流场地及线路的货量并合理安排运输、分拣等计划。通过分析数据,本文假设处理能力和运输能力上限均为其历史货量最大值,然后对应急调运与物流网络结构优化问题进行了研究,建立了物流预测模型、多目标优化模型以及综合评价模型,此问题的研究为应急调运和物流网络结构的优化提供了有效手段。

This paper points out that the e-commerce logistics network is composed of logistics sites and transportation routes,which may lead to changes in the number of parcels when the volume of orders placed by users is affected by factors such as promotional activities and unforeseen events.In order to improve efficiency and reduce operating costs,managers need to predict the volume of each logistics site and route and rationally arrange transportation,sorting and other plans.By analyzing the data,this paper assumes that the upper limit of processing capacity and transportation capacity is the maximum value of its historical cargo volume,then studies the problem of emergency dispatching and optimization of logistics network structure,and establishes the logistics prediction model,multi-objective optimization model,and comprehensive evaluation model,and the study of this problem provides an effective means for the optimization of emergency dispatching and logistics network structure.