关键词: 托运人, 运输联盟, 时间窗, 粒子群算法, 车货匹配

Abstract: With the rapid development of small and medium-sized enterprises, how to effectively utilize their logistics resources to reduce their logistics costs has become an urgent problem. Based on the transport alliance'sperspective, this paper establishes a vehicle and cargo scheduling model, whose objective is minimizing the total cost under the consideration of the time window and shipment request volumes. Then, three time window processing strategies are proposed, and a particle swarm optimization (PSO) algorithm is designed to solve the proposed model.The effectiveness of the model and algorithm is analyzed by using the numerical examples. The results show that the proposedmodel can reduce the total logistics cost and reduce the number of vehicles. Therefore, this study has a certain theoretical significance on integrating the social logistics resource and reducing the social logistics costs.

Key words: shippers, transportation union, timewindow, particleswarmoptimization, vehicle cargo match