考虑行程时间可靠性的城市冷链末端配送站选址研究

城市冷链“最后一公里”的配送时效性对冷链产品货损率和客户满意度影响很大,因此提升城市冷链末端配送时效性具有重要意义. 恶劣的城市交通环境及高度分散的客户常导致配送时效性难以提升. 从行程时间可靠性角度出发,基于复杂网络理论提出一种城市冷链末端配送站选址方法. 先利用复杂网络理论构建城市冷链末端需求点网络模型,充分考虑行程时间可靠性;再利用社团检测方法,对冷链末端客户进行阶段性聚类;然后,利用度中心性和强度中心性进行选址决策;最后,对选址方案进行配送时效性评估. 通过模拟构建城市冷链末端物流需求点网络并进行选址决策,表明所提方法准确有效,能充分保证配送时效性.

Location of Terminal Distribution Station of Urban Cold Chain Logistics Considering Travel Time Reliability

The timeliness of“last mile”distribution of urban cold chain logistics has a great impact on the cargo damage rate and customer satisfaction. Therefore, it is of great significance to improve the timeliness of terminal distribution of urban cold chain logistics. However, the harsh traffic conditions and the high dispersion of customers in the city often lead to difficulties in improving the timeliness of terminal distribution. Therefore, from the perspective of travel time reliability, a location method for the terminal distribution station of urban cold chain logistics based on complex network theory is proposed. First, the complex network theory is employed to construct the terminal logistics demand point network of urban cold chain logistics, which fully considers the travel time reliability. Second, the community detection method is used to cluster the terminal customers in stages. Third, degree centrality and strength centrality are used to make location decision. Fourth, the distribution timeliness of the location scheme is evaluated. Through the simulation of the terminal logistics demand point network, and the location decision of the network model, it shows that the method is accurate and effective, and can fully guarantee the timeliness of terminal distribution of urban cold chain logistics.