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引用本文:刘迪,杨华龙,张燕. ��ڵ㼯װ�亣��������λ�����Ż�ģ��[J]. 交通运输系统工程与信息, 2013, 13(2): 164-171
作者姓名:刘迪  杨华龙  张燕
作者单位:1. ???????′?? ????????????, ???? ???? 116026??2.?????????? ??????乤????, ???? ???? 116028
基金项目:国家自然科学基金项目,大连市科技计划项目,中央高校基本科研业务费资助暨大连海事大学优秀科技创新团队培育计划资助项目
摘    要:不确定性需求下集装箱海铁联运的箱位分配优化,对联运经营人的经营效率和效益产生极为重要的影响.基于收益管理理论,结合集装箱海铁联运的经营和组织特点,充分考虑合同客户、普通客户和加急客户的不同需求,分两阶段建立了多节点集装箱海铁联运箱位分配优化模型.第一阶段为面向合同客户的协议销售箱位分配模型,第二阶段为面向普通客户和加急客户的自由销售箱位分配模型.针对第一阶段需求的相对确定性特征和第二阶段需求的随机特征,分别运用确定性线性规划(DLP)和随机线性规划(SLP)方法进行模型转化并求解.通过算例验证了上述模型与算法的适用性和有效性.

关 键 词:?????????   ??λ????   ???????   ?????   ????????   ???????  
收稿时间:2012-11-26

Slot Allocation Optimization Model for Multi-node Container Sea-Rail Intermodal Transport
LIU Di , YANG Hua-long , ZHANG Yan. Slot Allocation Optimization Model for Multi-node Container Sea-Rail Intermodal Transport[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(2): 164-171
Authors:LIU Di    YANG Hua-long    ZHANG Yan
Affiliation:1. Transportation Management College, Dalian Maritime University, Dalian 116026, Liaoning, China;?? 2. School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, Liaoning, China
Abstract:Slot allocation optimization under uncertain demands has significant impacts on the efficiency and benefit for a multimodal transport operator (MTO). Based on revenue management theory and features of container sea rail intermodal transport, this paper establishes a two stage slot allocation optimization model on the multi node container sea rail intermodal line, which takes into account the different demands of contract, general and urgent customers. The first stage is proposed by considering slot allocation for contract customers in contract market, and the second stage is proposed by considering slot allocation for general and urgent customers in free market. Because of the demand relative certainty in the first stage and the demand uncertainty characteristic in the second stage, the method of DLP and SLP are used to transform and solve the models respectively. The results show that the models and algorithms are feasible and effective.
Keywords:integrated transportation  slot allocation  revenue management  container  sea rail intermodal transport  optimization model
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