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Collaboration in Truck Appointment System in Container Terminals

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DataCite Commons2020-08-01 更新2024-07-03 收录
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https://journals.aau.dk/index.php/td/article/view/5093
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资源简介:
Due to the continual increase of the global containerized trade, many container terminals face the problem of high demands that their current resource capacity cannot afford. The consequences of such situation are not only the long queues of trucks at the entrance gates and storage yards but also the large turnaround times of trucks. In response, Truck Appointment Systems (TAS) were introduced to schedule truck arrivals in order to alleviate the terminal rush hours, however, the mandatory appointments developed by TASs have a negative impact on the operations as well as resources of the trucking companies. In recent literature, this issue was considered by introducing collaborative TAS in which the trucking companies as well as the container terminals collaborate to set the truck appointments. This work elaborates on the difference between traditional and collaborative TAS and demonstrates how collaborative TAS can improve the performance of the container terminal and reduce the cost of the trucking companies.

随着全球集装箱化贸易持续攀升,众多集装箱码头正面临现有资源承载力难以匹配高作业需求的困境。该困境不仅会导致入口闸口与堆场出现卡车长队列,还会延长卡车的周转时长。为此,业界引入了卡车预约系统(Truck Appointment Systems, TAS),通过规划卡车到港时间以缓解码头作业高峰压力;但这类系统强制推行的预约机制,却对货运公司的运营与资源配置产生了负面影响。近年来的相关研究中,学者们提出了协同式卡车预约系统以解决该问题:由货运公司与集装箱码头共同协作制定卡车预约计划。本研究详细对比了传统预约系统与协同式预约系统的差异,并论证了协同式卡车预约系统如何能够提升集装箱码头的运营绩效,同时降低货运公司的运营成本。
创建时间:
2020-04-29
搜集汇总
背景与挑战
背景概述
该数据集探讨集装箱码头中卡车预约系统(TAS)的协作问题,针对全球贸易增长导致的码头资源紧张和卡车运营效率低下。它比较传统与协作TAS,强调协作方式如何通过卡车公司与码头合作来优化预约调度,从而提升码头性能并降低卡车公司成本。
以上内容由遇见数据集搜集并总结生成
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