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.

全球化带来了迅速增长的商品数量。这一点在洲际运输路线上尤其明显。因此，海洋货运提供商面临着在高效的运输网络中为其集装箱布线的挑战。由于海运服务提供商依赖于海运承运人的运力，他们的重点是改善成本密集型海港腹地服务的自组织网络结构。到目前为止，各个交通线路都是独立规划的。这通常会导致集装箱集装箱(LCL)的运力利用率较低。因此，港口腹地网络只能达到较低的效率。然而，日益激烈的竞争要求装货单元更有效地利用能力。为了提高运力利用率，必须考虑包括海港腹地交通在内的整个运输网络。腹地的门户可以有效地整合不同关系的运输量。因此，可以显著提高海运集装箱的能力利用率。为了实现这一点，关键是确定一个考虑集结效应的网络结构，从而实现集装箱船的低成本运输路线。鉴于此，本知识转移项目的目标是通过考虑集装箱船的低成本集结来为海港腹地交通发展创新的网络结构。在前面的DFG项目中，两个申请人密切合作，为经典的拼箱运输网络开发了优化方法，这些方法将适用于海港腹地网络的情况。此外，还将开发新的优化技术，用于使用腹地门户的海上运输的更多应用配方。一个重要的挑战是将需求随时间波动等随机行为整合到我们的方法中。因此，我们将建立多阶段随机和稳健模型，并利用分解技术将其求解为最优。本项目不仅希望在考虑随机行为的情况下完善数学优化方法，而且希望解决现实的交通规划问题。我们的项目合作伙伴DB Schenker作为世界领先的物流提供商，为在实践中测试开发的优化工具提供了理想的环境。