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Task scheduling in a full roaming shuttle system

机译:完整漫游穿梭系统中的任务计划

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A new concept in automated storage and retrieval systems is the full roaming shuttle system, the distinguishing feature of which is that its material handling shuttles are not aisle-captive, but can easily switch aisles and levels in the storage area. A consequence of this flexibility is that shuttles more often overtake each other and deliver product totes in a different sequence than they are requested. In case of strict sequence requirements for delivered totes, this leads to more waiting time of shuttles and thus to loss of throughput capacity. In this paper we propose heuristics to assign tasks to shuttles that aim at minimizing the number of out-of-sequence occurrences and at maximizing the throughput capacity. These heuristics are evaluated through simulation. The results suggest that, in comparison to first-in first-out task assignment, substantial throughput improvement can be achieved by employing smart task assignment heuristics.
机译:完整的漫游穿梭系统是自动存储和检索系统中的一个新概念,其独特之处在于其物料搬运穿梭机不具有走道限制,但可以轻松切换存储区域中的走道和高度。这种灵活性的结果是,穿梭机经常会相互超越,并以与请求不同的顺序运送产品手提袋。在对运输的手提包有严格的顺序要求的情况下,这导致梭子的等待时间更长,从而导致吞吐量的损失。在本文中,我们提出了启发式方法,将任务分配给航天飞机,目的是最大程度地减少乱序发生的次数并最大程度地提高吞吐能力。这些启发式方法通过仿真进行评估。结果表明,与先进先出任务分配相比,通过采用智能任务分配试探法可以显着提高吞吐量。

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