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Integrated Scheduling of Quay Cranes and Automated Lifting Vehicles in Automated Container Terminal with Unlimited Buffer Space

机译:具有无限缓冲空间的自动集装箱终端中码头起重机和自动提升车辆的整合调度

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Nowadays, role of sea port container terminals in national and regional transportation and economy cannot be omitted. To respond enormous and every increasing demand on sea transshipments within the same time frame, terminal managers require more and more efficiency in container performance and operations. Automation of the processes at the quays of the container ports is one the solutions to improve the performance and output of container terminals. For such purpose, using new generation of vehicles is unavoidable. Automated Lifting Vehicle (ALV) is one of the automatic vehicles that has been introduced during recent years and can be used in container terminals. In this paper, an integrated scheduling of quay cranes and automated lifting vehicles with unlimited buffer space is formulated as a mixed integer linear programming model. Our objective is to minimize the makespan of all the loading and unloading tasks for a pre-defined set of cranes. Obtained result from our scheduling model is compared with an Automated Guided Vehicle (AGV) inspired from the same problem.
机译:如今,无法省略海港集装箱码头在国家和区域运输和经济中的作用。在同一时间范围内响应巨大和对海运的每一个日益增长的需求,终端管理人员需要越来越多的集装箱性能和操作效率。容器端口码头的过程的自动化是提高容器终端性能和输出的解决方案。出于这种目的,使用新一代车辆是不可避免的。自动提升车辆(ALV)是近年来推出的自动车辆之一,可用于集装箱码头。在本文中,将码头起重机和自动提升车辆的集成调度配制为混合整数线性编程模型。我们的目标是最大限度地减少所有加载和卸载任务的Mapspan,以进行预定义的起重机。与我们的调度模型的获得结果与来自同一问题的自动引导车辆(AGV)进行比较。

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