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Inventory-based dispatching of automated guided vehicles on container terminals

机译:在集装箱码头上基于库存的自动导引车调度

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This paper deals with automated guided vehicles (AGVs) which transport containers between the quay and the stack on automated container terminals. The focus is on the assignment of transportation jobs to AGVs within a terminal control system operating in real time. First, we describe a rather common problem formulation based on due times for the jobs and solve this problem both with a greedy priority rule based heuristic and with an exact algorithm. Subsequently, we present an alternative formulation of the assignment problem, which does not include due times. This formulation is based on a rough analogy to inventory management and is solved using an exact algorithm. The idea behind this alternative formulation is to avoid estimates of driving times, completion times, due times, and tardiness because such estimates are often highly unreliable in practice and do not allow for accurate planning. By means of simulation, we then analyze the different approaches. We show that the inventory-based model leads to better productivity on the terminal than the due-time-based formulation.
机译:本文涉及自动导引车(AGV),该自动导引车在自动集装箱码头上的码头和货栈之间运输集装箱。重点是将运输作业分配给实时运行的终端控制系统内的AGV。首先,我们根据工作的到期时间描述一个相当普遍的问题表述,并通过基于启发式的贪婪优先级规则和精确算法来解决此问题。随后,我们提出了分配问题的另一种表述,其中不包括到期时间。该公式基于与库存管理的粗略类比,并使用精确算法求解。这种替代方法背后​​的想法是避免估计驾驶时间,完成时间,到期时间和延误时间,因为这种估计在实践中通常非常不可靠,并且不允许进行准确的计划。通过仿真,我们然后分析了不同的方法。我们显示,基于库存的模型比基于到期时间的公式可提高终端的生产率。

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