基于多维度分析的电商物流包裹运作效率提升策略研究

Research on Strategies for Improving the Efficiency of E-Commerce Logistics Package Operations Based on Multidimensional Analysis

摘要: 随着互联网技术的迅速发展和电子商务的蓬勃兴起，新时代的电商物流包裹问题愈发突显其重要性。物流枢纽城市作为物流网络的重要组成部分，其作为物流网络中的关键节点，承担着货物流转、配送和集散的重要功能。基于熵权-TOPSIS法构建物流枢纽城市评价体系，给出4个关键指标，20个测度指标，多角度的考虑一个城市作为物流中心枢纽所应具备的一个能力要求。在突发情况下，制定科学有效的应急策略，可以减轻突发事件对物流枢纽城市的冲击，同时降低物流网络中断的风险。基于线性规划的数学模型，使得所有包裹尽可能正常流转，并保持各条线路的工作负荷尽可能均衡，模型求解上，使用了模拟退火算法这一启发式优化算法，其在求解复杂的多目标规划问题上具有显著优势。最后本文针对物流枢纽城市、应急货物分流、消费者的快递需求与快递货物量预测四个方面，探讨了创新之处与不足并分别提出了些许相关建议。

Abstract: With the rapid development of Internet technology and the booming rise of e-commerce, the problem of e-commerce logistics parcels in the new era increasingly highlights its importance. As an important part of logistics network, logistics hub city, as a key node in the logistics network, undertakes the important functions of goods flow, distribution and distribution. Based on the entropy weight-TOPSIS method to construct the evaluation system of logistics hub city, it gives 4 key indicators, and 20 measurement indicators, and considers a city as a logistics center hub from multiple perspectives to have a capacity requirement. In the case of emergencies, the development of scientific and effective emergency response strategies can reduce the impact of emergencies on the logistics hub city, while reducing the risk of interruption of the logistics network. Based on the mathematical model of linear planning, all packages are made to flow as normally as possible and the workload of each line is kept as balanced as possible, and the heu-ristic optimization algorithm of simulated annealing algorithm is used for model solving, which has a significant advantage in solving complex multi-objective planning problems. Finally, this paper for the logistics hub city, emergency cargo diversion, consumer demand for express delivery and express cargo volume forecasting four aspects, explored innovations and shortcomings and provided some relevant suggestions separately.