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中国管理科学 ›› 2015, Vol. 23 ›› Issue (7): 103-112.doi: 10.16381/j.cnki.issn1003-207x.2015.07.013

• 论文 • 上一篇    下一篇

竞争环境下的轴-辐式集装箱海运网络设计问题

赵宇哲   

  1. 大连海事大学交通运输管理学院, 辽宁 大连 116026
  • 收稿日期:2013-11-21 修回日期:2014-02-27 出版日期:2015-07-20 发布日期:2015-07-22
  • 作者简介:赵宇哲(1983-),男(汉族),黑龙江大庆人,大连海事大学交通运输管理学院,讲师,博士,研究方向:港口规划与管理、发展决策与管理.
  • 基金资助:

    长江学者和创新团队发展计划资助项目(IRT13048); 国家自然科学基金资助项目(71273037,71403035); 辽宁省高校创新团队支持计划资助项目(LT2013011); 交通运输部交通软科学项目(2013-322-225-240); 中央高校基本科研业务费专项资金资助项目(3132013080, 3132015218)

Hub-and-spoke Container Shipping Network Design in a Competitive Environment

ZHAO Yu-zhe   

  1. College of Transportation Management, Dalian Maritime University, Dalian 116026, China
  • Received:2013-11-21 Revised:2014-02-27 Online:2015-07-20 Published:2015-07-22

摘要: 针对航运企业的重组与全球扩张引起的竞争问题,提出了竞争环境下的轴-辐式集装箱海运网络设计模型。模型采用基于路径的变量作为决策变量,利用离散函数来表示航运企业与航运联盟的竞争可吸引的流量(或客户),目的在于通过设计混合轴-辐式集装箱海运网络,实现以更低的服务成本和更短的服务时间最大化可吸引的流量,建立了枢纽港口数量约束、航线连接约束、航线中转约束、流量竞争约束等,运用多点交叉遗传算法进行求解,最后结合亚欧航线的集装箱海运市场进行实例分析,对考虑客户需求多样性与航运联盟对策下的轴-辐式集装箱海运网络进行设计,并验证了算法的计算效果。

关键词: 轴-辐式网络, 竞争, 枢纽选址, 遗传算法, 集装箱海运

Abstract: A novel mixed integer linear programming mathematical model for the hub-and-spoke container shipping network design in a competitive environment is proposed for the competition problem caused by reorganization and global expansion of container shipping liners. Path-based formulations are adopt as decision variables in the model. A discretized attraction function is introduced to indicate the number of network traffic (customers) of the container shipping alliance that can be attracted to the newcomer container shipping liners through competition. The aim of the model is to maximize the number of network traffic attracted which depends on lower transportation cost and shorter service time - by designing its mixed hub-and-spoke container shipping network. There are 13 constraints including the number of hub ports, routes connection, route transition and network traffic competition to ensure competition factors and network design factors the model should consider. As it is a NP-hard problem, a multi-point crossover genetic algorithm is given to solve the problem. By comparing the genetic algorithm allowed infeasible solutions, the results show that the multi-point crossover genetic algorithm which can avoid infeasible solutions has a better solution. Finally, the example of a container shipping market of Asia-Europe routes is analyzed, and the major data sources are obtained from CI (Containerization International)-Online, 100allin, Seagle and BLM-Shipping. Hub-and-spoke container shipping networks are designed for the cases of the various demands of customers and the countermeasure of container shipping alliance. The calculation results show that (1) Small and medium enterprises should consider that the costs reduction offered by the scale economy for transferring origin-destination (O-D) flows among the reasonable set of hub ports. (2) Since direct routes between the origin-destination (O-D) ports are relatively fixed and can avoid excessive costs and time generated by the detour, small and medium enterprises should consider that cutting costs when entering the container shipping market. (3) Small and medium enterprises should focus on the customer demands from the container shipping market not covered by container shipping alliance, in order to design the hub-and-spoke container shipping network by reasonable hub port selection strategy.

Key words: hub-and-spoke network, competition, hub location, genetic algorithm, container shipping

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