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首页> 外文期刊>Transportation Research >A combined data mining - optimization approach to manage trucks operations in container terminals with the use of a TAS: Application to an Italian and a Mexican port
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A combined data mining - optimization approach to manage trucks operations in container terminals with the use of a TAS: Application to an Italian and a Mexican port

机译：一种组合的数据挖掘 - 在集装箱终端中使用TAS管理卡车操作的优化方法：应用于意大利和墨西哥港口

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摘要

This paper relates with the assignment of trucks to time slots in container terminals equipped with Truck Appointment Systems. A two-phase approach is provided: first, export and import containers are matched in tuples with a clustering analysis to reduce the number of empty trips and, then, tuples are assigned to time slots to minimize trucks deviation from their preferred time slots and truck turnaround times. Real case instances related to Mexican and Italian container terminals are tested. Results show that our approach reduces empty-truck trips up to 33.79% and that it can be successfully applied to any container terminal.
机译：本文涉及卡车在配备卡车预约系统的集装箱码头时隙的分配。提供了一种两相方法：首先，导出和导入容器在元组中匹配，具有聚类分析，以减少空跳闸的数量，然后，元组被分配给时隙以最小化从他们首选的时隙和卡车偏离卡车偏差周转时间。测试与墨西哥和意大利集装箱码头相关的实际情况。结果表明，我们的方法可减少高达33.79％的空卡车旅行，并且可以成功应用于任何集装箱终端。

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