以混合轴辐式运输网络为目标网络结构,对中小物流企业联盟运输网络进行优化,将联盟组建过程中不能损害成员企业利益的个体运营成本约束、协同完成物流业务的时间约束作为主要约束条件,构建了以单位运输成本、单位货物处理成本、运输车型为变量的目标约束混合轴辐式运输网络优化模型,旨在实现多重约束下的联盟网络总成本最小,最后借助模拟退火(simulated annealing,SA)算法对模型进行了求解。研究结果表明:该模型对网络的枢纽选址、成员企业间运输线路选择和运输量分配进行了有效的优化,使优化后联盟的运营成本与直达式网络相比降低了6.8%,与纯轴辐式网络相比降低了4.71%,与普通混合轴辐式网络相比增加了1.86%,并且能够在符合成员利益情况下满足协同运输的时效性要求,具有对企业间原有运输网络改造幅度较小的特点。
Hybrid hub-and-spoke transportation network was established as an objective network structure to optimize the transportation network of small and medium-sized logistics enterprise alliance network. Based on the principles that alliance establishment couldn't damage the member enterprises' interests as well as time was constrained during collaborative logistics business, hybrid hub-and spoke transportation networks optimization model, taking unit transportation cost, unit cargo handling cost and car types as variables, was established to minimize the total costs of the transportation network. Finally, the model was solved by Simulated Annealing (SA)algorithm. The results show that this model can effectively optimize the network hub location choice, transportation line choice between member enterprises and transportation volume distribution. And the optimized union operation cost reduce by 6.8% and 4.71% compared with direct network and pure hub-and-spoke network respectively, while it increases by 1. 86% compared with the ordinary hybrid hub-an&spoke network. Besides, this model can meet the requirements of timeliness for collaborative transport can satisfy the membership benefits, and has the characteristics of small changes to the original transportation network between enterprises. 3 tabs, 1 fig, 16 refs.