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首页> 外文期刊>European Journal of Industrial Engineering >A simulation framework for studying blocking effects in warehouse systems with autonomous vehicles
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A simulation framework for studying blocking effects in warehouse systems with autonomous vehicles

机译:用于研究具有自动驾驶车辆的仓库系统中的阻塞效应的仿真框架

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摘要

Autonomous vehicles-based storage and retrieval systems (AVS/RS) have been shown to offer greater flexibility to improve cycle time and throughput capacity in the transfer of unit loads in high-density storage areas of warehouses. In these systems, loads are transferred by autonomous vehicles that move horizontally along aisles and cross-aisles within a tier, while lifts support vertical movement of loads between tiers. For analytical tractability, prior studies on performance evaluation of AVS/RS have ignored the blocking effects of vehicles and lifts while estimating throughput capacity and cycle times. To evaluate the effects of blocking on system performance, this paper first develops protocols to address vehicle blocking that are subsequently incorporated in a detailed simulation model. The blocking effects are studied for a variety of tier configurations that differ in depth/width ratio, number of locations, number of available vehicles, and transaction arrival rates. Results suggest that blocking delays could account for 2%-20% of the transaction cycle times.
机译:事实表明,基于自动驾驶车辆的存储和检索系统(AVS / RS)具有更大的灵活性,可以在仓库的高密度存储区域中转移单位负载时提高循环时间和吞吐能力。在这些系统中,负载是由自动驾驶车辆传递的,这些自动驾驶车辆在层级内沿着通道和交叉通道水平移动,而升降机则支持层级之间的垂直负载运动。对于分析的可处理性,先前对AVS / RS性能评估的研究在估计吞吐能力和周期时间时,忽略了车辆和举升机的阻塞效应。为了评估阻塞对系统性能的影响,本文首先开发了解决车辆阻塞的协议,这些协议随后被并入了详细的仿真模型。针对深度/宽度比,位置数量,可用车辆数量和交易到达率不同的各种层级配置研究了阻塞效应。结果表明阻塞延迟可能占事务处理周期时间的2%-20%。

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