作者
Yong Wang, Yingying Yuan, Xiangyang Guan, Maozeng Xu, Li Wang, Haizhong Wang, Yong Liu
发表日期
2020/6/10
期刊
Journal of Cleaner Production
卷号
258
页码范围
120590
出版商
Elsevier
简介
Collaboration among service providers in a logistics network can greatly increase their operation efficiencies and reduce transportation emissions. This study proposes, formulates and solves a collaborative two-echelon multicenter vehicle routing problem based on a state–space–time (CTMCVRP-SST) network to facilitate collaboration and resource sharing in a multiperiod state–space–time (SST) logistics network. The CTMCVRP-SST aims to facilitate collaboration in logistics networks by leveraging the spatial-temporal properties of logistics demands and resources to optimize the distribution of logistics resources in space and time to meet logistics demands. A three-component solution framework is proposed to solve CTMCVRP-SST. First, a bi-objective linear programming model based on resource sharing in a multiperiod SST network is formulated to minimize the number of vehicles and the total cost of the …
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Y Wang, Y Yuan, X Guan, M Xu, L Wang, H Wang… - Journal of Cleaner Production, 2020