Abstract:

This study focuses on the hub port location problem in the hub-and-spoke network. Multiple models were developed with consideration of the data change trends and the uncertainty of transportation demand and cost in the container shipping network. Considering the transportation links of the hub-and-spoke network, the study used a cost function to characterize the transportation costs between hub ports and developed a deterministic model for hub port selection. A stochastic model with uncertain demand was then developed for hub port selection with the discrete shipping demand. Next, a MINMAX method was used to develop a hub port location model with uncertain cost and actual data as input. Then the hub port location model was proposed with uncertain transportation demand and cost. The actual data of the European container transportation network was used to verify the model and solve the optimal choice of the hub port under various uncertain factors. A comparative analysis of the results was also included. This study provides a reference for the liner company to optimize the route.

Key words: waterway transportation, hub port location, MINMAX method, uncertainty

摘要：

针对轴辐式网络中的枢纽港选择问题，在集装箱航运网络中，考虑运输需求与成本的不确定，根据数据变化规律，构建多个模型. 根据轴辐式网络的运输环节，使用成本函数表征枢纽港间运输成本，构建枢纽港选择的确定性模型；基于此，针对航运需求的离散特性，构建需求不确定的随机模型进行枢纽港选择；基于运输成本难以预测的特点，结合实际数据，使用极小极大值法构建成本不确定的枢纽港选择模型；然后，结合两者构建运输需求与运输成本同时不确定的枢纽港选择模型. 采用欧洲集装箱运输网络实际数据对模型进行验证，求解各因素不确定下枢纽港选择的最优方案，并针对结果进行对比分析，为班轮公司优化航线提供参考.

关键词: 水路运输, 枢纽港选择, 极小极大值法, 不确定性