Strategic planning of seaport hinterland networks with focus on LCL shipment consoldiation in gateways

以口岸拼箱集运为重点的海港腹地网络战略规划

• 批准号: 421917839
• 负责人: Professor Dr. Christoph Buchheim
• 金额: --
• 依托单位: Institut für Transportlogistik (ITL)
• 依托单位国家: 德国
• 项目类别: Research Grants (Transfer Project)
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/421917839?language=en
• 关键词: Strategic; planning; seaport; hinterland; networks

Globalization results in a rapidly growing volume of goods. This is observed in particular on intercontinental transport routes. Therefore, ocean freight transport providers face the challenge of routing their containers in efficient transport networks. Since ocean freight transport providers rely on the capacities of ocean carriers, their focus is on improving the self-organized network structure of the cost-intensive seaport hinterland services. Until now, the individual transport links are planned independently. This generally results in a poor capacity utilization of less-than-container load (LCL) ocean freight containers. Thus, seaport hinterland networks can only achieve low efficiency.However, the increasing competition requires a more efficient capacity utilization of the loading units. In order to improve the capacity utilization it is important to consider the entire transport network including the seaport hinterland traffic. Gateways in the hinterland enable efficient consolidation of transport volumes of different relations. Thus, capacity utilization of the ocean freight containers can be significantly improved. In order to achieve this, it is crucial to determine a network structure, which considers consolidation effects enabling a cost-efficient routing of the LCL shipments.In the view of the above, the aim of this knowledge transfer project is to evolve innovative network structures for seaport hinterland traffic by taking the cost-efficient consolidation of LCL shipments into account. Optimization methods, which were developed for classical LCL-networks during the preceding DFG project in close cooperation between the two applicants, will be adapted to the context of seaport hinterland network. In addition, new optimization techniques will be developed for more applied formulations for maritime transports using gateways in the hinterland. An important challenge is the integration of stochastic behavior like demand fluctuations over time into our methods. Therefore, we will set up multi-stage stochastic and robust models and solve them to optimality with use of decomposition techniques.With this project, we want not only to refine mathematical optimization methods under consideration of stochastic behavior, but also we want to solve realistic transport planning problems. Our project partner DB Schenker offers as the world's leading logistics provider the ideal environment for testing the developed optimization tools in practice.

全球化导致商品量迅速增长。这尤其是在洲际运输路线上观察到的。因此，海运运输提供商面临着将容器在有效的运输网络中进行路由的挑战。由于海运运输提供商依赖海洋航空公司的能力，因此他们的重点是改善成本密集的海港腹地服务的自组织网络结构。到目前为止，单个运输链接已独立计划。这通常会导致容量较差的利用率较小，而不是城市货运容器（LCL）货运容器。因此，海港腹地网络只能达到低效率。但是，不断增长的竞争需要更有效的装载单元的能力利用。为了提高容量利用率，重要的是考虑包括海港腹地交通在内的整个运输网络。腹地中的网关能够有效地合并不同关系的运输量。因此，可以显着改善海洋货运容器的容量利用。 为了实现这一目标，确定网络结构至关重要，该网络结构认为合并效应可以实现LCL货物的成本效益路线。在上述视图中，该知识转移项目的目的是通过将LCL货物的成本效率稳定性来发展为Seaport Hindland的创新网络结构。在两位申请人之间密切合​​作的前DFG项目中为经典LCL网络开发的优化方法将适用于Seaport Hinterland Network的背景。此外，将开发新的优化技术，以用于使用腹地门户的海上运输的更多应用公式。一个重要的挑战是，随着时间的流逝，随机行为的整合到我们的方法中。因此，我们将建立多阶段随机和健壮的模型，并通过使用分解技术来解决最佳性。在此项目的情况下，我们不仅希望在考虑到随机行为的情况下完善数学优化方法，而且还希望解决现实的运输计划问题。我们的项目合作伙伴DB Schenker作为世界领先的物流提供商提供了测试开发优化工具的理想环境。