超连接零担运输操作系统中的分布式动态枢纽网络运营规划
Distributed and Dynamic Hub Network Operation Planning in a Hyperconnected Less-Than-Truckload Operating System
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中文总结 AI 辅助
针对零担运输行业成本高、网络分散问题，基于物理互联网原则，设计多枢纽运营规划协议，通过模拟实验验证其有效性，提升了PI网络的实用性与鲁棒性。
中文摘要 AI 辅助
零担运输（LTL）行业对提升物流系统的效率与可持续性至关重要，因为零担货物相比整车货物提供了更优的整合机会。尽管具备这种灵活性，但由于运营效率较低以及中小承运商网络高度分散，零担货物的平均成本仍然显著更高。基于我们正在开展的、以物理互联网（PI）的模块化集装箱与开放资源共享原则为基础的分布式动态物流枢纽网络系统研发工作，本研究聚焦于枢纽间及枢纽内运营，涉及多个区域枢纽网络间的合作，因此货物可能会途经多个合作枢纽网络。对于货物进入的每个枢纽网络，其由到达入口枢纽的预计时间和到达出口枢纽的最晚时间定义。基于所定义的货物信息，我们为分布式枢纽运营商设计了一套多枢纽运营规划协议。在其运营网络中，运营商分别使用我们精心设计的协议，规划枢纽内货物到特定目的地拖车的分配，以及枢纽间拖车的调度计划。通过枢纽网络间精心设计的互连，聚合枢纽网络系统有望实现合作成果并满足货物请求。我们在运营商的多枢纽网络中，于多种场景下通过基于模拟的实验评估了所提协议的有效性。总体而言，本研究提升了基于物理互联网（PI）网络的实用性与鲁棒性，支持枢纽网络间开展更多合作，以构建更高效、更可持续的物流系统。
英文摘要
The less-than-truckload (LTL) industry plays a vital role in enhancing the efficiency and sustainability of logistics systems, as LTL shipments offer greater consolidation opportunities than full-truckload shipments. Despite of this flexibility, the average cost of LTL shipments remains considerably higher due to less efficient operations and highly fragmented networks of small and medium-sized carriers. Building on our ongoing effort to develop a distributed and dynamic logistics hub network system grounded in the Physical Internet (PI) principles of modular containers and open resource sharing, this study focuses specifically on inter-hub and in-hub operations, with cooperation among multiple regional hub networks. Therefore, a shipment may traverse multiple cooperating hub networks. With respect to each hub network each shipment enters, it is defined by its expected arrival time at the entry hub and its latest arrival time at the exit hub. Based on the defined shipment information, we design a set of multi-hub operation planning protocols for distributed hub operators. In their operating networks, operators use our smartly designed protocol separately to plan in-hub shipments' assignments to destination-specific trailers and inter-hub trailers' dispatch schedules. With carefully designed interconnections between hub networks, the aggregated hub network system is well-positioned to achieve cooperative outcomes and fulfill shipment requests. We evaluate the effectiveness of the proposed protocol through a simulation-based experiment under multiple scenarios in an operator's multi-hub network. Overall, this research improves the practicality and robustness of PI-based networks and supports greater cooperation among hub networks toward more efficient and sustainable logistics systems.
