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Strategies for dispatching AGVs at automated seaport container terminals

机译:在自动海港集装箱码头调度AGV的策略

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Control of logistics operations at container terminals is an extremely complex task, especially if automated guided vehicles (AGVs) are employed. In AGV dispatching, the stochastic nature of the handling systems must be taken into account. For instance, handling times of quay and stacking cranes as well as release times of transportation orders are not exactly known in advance. We present a simulation study of AGV dispatching strategies in a seaport container terminal, where AGVs can be used in single or dual-carrier mode. The latter allows transporting two small-sized (20 ft) or one large-sized (40 ft) container at a time, while in single-mode only one container is loaded onto the AGV irrespective of the size of the container. In our investigation, a typical on-line dispatching strategy adopted from flexible manufacturing systems is compared with a more sophisticated, pattern-based off-line heuristic. The performance of the dispatching strategies is evaluated using a scalable simulation model. The design of the experimental study reflects conditions which are typical of a real automated terminal environment. Major experimental factors are the size of the terminal and the degree of stochastic variations. Results of the simulation study reveal that the pattern-based off-line heuristic proposed by the authors clearly outperforms its on-line counterpart. For the most realistic scenario investigated, a deviation from a lower bound of less than 5% is achieved when the dual-load capability of the AGVs is utilized.
机译:控制集装箱码头的物流运作是一项极其复杂的任务,尤其是在采用自动引导车辆(AGV)的情况下。在AGV调度中,必须考虑处理系统的随机性。例如,码头和堆垛起重机的处理时间以及运输订单的下达时间并没有事先确切知道。我们提出了在港口集装箱码头中AGV调度策略的仿真研究,其中AGV可在单或双载波模式下使用。后者允许一次运输两个小尺寸(20英尺)或一个大尺寸(40英尺)的集装箱,而在单模式下,无论集装箱的大小如何,仅一个集装箱被装载到AGV上。在我们的调查中,将柔性制造系统采用的典型在线调度策略与更为复杂的基于模式的离线启发式算法进行了比较。使用可扩展的仿真模型评估调度策略的性能。实验研究的设计反映了实际自动化终端环境中典型的条件。主要的实验因素是终端的大小和随机变化的程度。仿真研究的结果表明,作者提出的基于模式的离线启发式方法明显优于其在线对应方法。对于所研究的最现实的情况,当利用AGV的双重负载能力时,可以实现小于5%的下限偏差。

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