摘要
为运用定量的方法提升快递企业配送网络的鲁棒性,以某快递企业的订单号为数据来源,通过网络爬虫、数据清洗等大数据处理手段,获得其在全国范围内的配送网点与路径数据,描绘了其配送网络的拓扑结构;构建重要度评价矩阵确定了配送网络中重要节点,并以其作为测试指标对该配送网络进行鲁棒性分析,结果表明该配送网络对随机性破坏表现出鲁棒性,对蓄意性破坏表现出脆弱性;以投入成本为约束,构造了鲁棒性优化模型,运用Python求解,验证了模型的可行性和有效性,并以求解结果为依据,对该配送网络提出鲁棒性提升对策。
To improve the robustness of distribution network of express enterprise with quantitative analysis, based on the order data of an express enterprise, we obtained its nationwide distribution path data and constructed the topology of its distribution network by big data processing means of web crawler, data cleaning and so on. The important nodes in the distribution network are found by important evaluation matrix, and they are used as the robustness test indicators to analyze the robustness of distribution network.The result reveals that distribution network is robust against random destruction and fragile against intentional destruction. Taking investment cost as constraint, the robustness optimization model is built, and it is solved by Python to verify it’s reliability and feasibility. Finally, some advices on how to promote the robustness of distribution network are given according to the solutions.
作者
张锦
秦东
ZHANG Jin;QIN Dong(School o f Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu 610031,China)
出处
《交通运输工程与信息学报》
2018年第3期7-13,58,共8页
Journal of Transportation Engineering and Information
关键词
配送网络
复杂网络理论
鲁棒性
重要度评价矩阵
鲁棒性优化模型
distribution network
complex network theory
robustness
importance evaluation matrix
robustness optimization model
