基于停留时间存储策略的重力AS/RSs存储分配的混合分组匹配启发式算法

Li Li, Zhuxi Chen, Tingyu Zhang
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引用次数: 0

摘要

重力式自动存储检索系统(重力AS/RSs)具有空间利用率高、存储密度高等特点。在重力AS / RSs中,每个仓内的单元载荷在重力的驱动下从存储端滑动到检索端。每个仓中的单元负载遵循先进先出原则,这意味着存储的单元负载顺序不当会带来额外的移动时间来移除阻塞的单元负载。在停留时间(DOS)存储策略中,单位负载的到达和离开是提前确定的。为此,本文提出了一种混合分组匹配启发式算法(hybrid- gm)来生成合适的箱内存储单元负载序列。通过仿真实验来评估所提出的启发式算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid-grouping-matching Heuristic for the Storage Assignment in Gravity AS/RSs with Duration-of-stay Storage Policy
The gravity automated storage and retrieval systems (the gravity AS/RSs) has high space utilization and high storage density. In the gravity AS / RSs, unit-loads in each bin slide from storage end to retrieval end driven by the gravity. The unit-load in each bin follow the first-in-first-out principle, which means that the improper sequences of stored unit-loads brings extra travel time for removing blocking unit-loads. In duration-of-stay (DOS) storage policy, arrivals and departures of unit-loads are determined in advance. Therefore, a hybrid grouping-matching heuristic (hybrid-GM) is proposed in this paper to generate appropriate sequences of stored unit-loads in bins. Simulation experiments are conducted to evaluate the performance of the proposed heuristic.
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