关键词: 交通运输工程；线路组合选择；协同效应策略；零担物流

Abstract: The uncertainty of market demand makes enterprises often have temporary logistics demands. The supplementary role of logistics spot market procurement can effectively solve the above problem. In order to maximize the use of transport capacity and logistics network, reduce transportation costs and improve enterprise income, carriers often choose the combination of transportation routes in the form of transportation service combination auction. Aiming at the key problem how to select the appropriate combination of transportation routes in the auction of transportation service combination, from the perspective of LCL logistics carrier, a mathematical model aiming at maximizing revenue was established. Moreover, a solution strategy based on the synergy between shipping tasks was proposed, and the particle swarm optimization algorithm was used to verify the proposed model and synergy strategy through two different scale examples. In the small-scale example 1, the synergy strategy was the same as the solution of reverse elite particle swarm optimization algorithm, however, the operation time of synergy strategy was only 120.6s, which was 1775.1s less than that of reverse elite particle swarm optimization algorithm, and the solution time was shortened by 93.64%. In example 2, it took only 148.6s for the synergy strategy to obtain the optimal scheme, 4125.9s for the reverse elite particle swarm optimization algorithm to obtain the same optimal scheme, and the operation time was increased by 96.4%. The research results show that the solution strategy using synergy effect can obtain satisfactory decision results in both examples, and the computational complexity is small. When the solution quality is the same, the calculation time of synergy effect solution strategy is shorter.

Key words: traffic and transportation engineering; line combination selection; synergy strategy; less-than-carload logistics