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Heuristic routing methods in multiple-block warehouses with ultra-narrow aisles and access restriction

机译:超窄通道和访问限制的多块仓库中的启发式路由方法

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This paper focuses on multiple-block warehouses with ultra-narrow aisles and access restriction. These new features observed from one of the largest online retailers in China allow order pickers enter pick aisles from specific entrances but prohibit them from traversing the aisles. This impedes the application of traditional heuristic order picking methods. To address the order picking problem in such warehouses, we propose six heuristic routing methods by extending the basic Return, Largest Gap and Mid-point methods for the single-block warehouse. These six heuristic methods are named RNA, LNA, MNA, RNAP, LNAP and MNAP, respectively. The major improvements are achieved through setting rules with respect to determining the access mode of aisles as well as changing working aisles. Using real order information, a comprehensive simulation for comparison is conducted to evaluate the effectiveness of our improved routing methods under 12 warehouse layouts. The simulation results demonstrate that LNAP achieves the shortest average picking routes in most scenarios. The impacts of warehouse layout on performance measurements are analysed as well. It is ascertained that setting more cross aisles and connect aisles helps mitigate the negative impacts.
机译:本文侧重于具有超窄通道和访问限制的多块仓库。从中国最大的在线零售商之一观察到的这些新功能允许订单拣货机进入从特定入口的挑选过道,但禁止他们穿越过道。这阻碍了传统启发式拣选方法的应用。要解决此类仓库中的订单挑选问题,我们通过扩展单块仓库的基本返回,最大差距和中点方法提出了六种启发式路由方法。这六种启发式方法分别命名为RNA,LNA,MNA,RNAP,LNAP和MNAP。通过确定规则来确定关于确定过道的访问模式以及改变工作过道的主要改进。使用真正的订单信息,进行了综合模拟,以评估我们改进的12个仓库布局下的路由方法的有效性。仿真结果表明,LNAP在大多数情况下实现了最短的平均拣选路线。还分析了仓库布局对性能测量的影响。确定设置更多横向通道和连接过道有助于减轻负面影响。

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