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Building Management Algorithms in Automated Warehouse Using Continuous Cluster Analysis Method

机译:使用连续簇分析方法构建自动仓库中的管理算法

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Optimizing warehouse space and travel distance are important tasks in cold warehouse management. It is not only help to save operation cost and travel time, but also helps to manage goods more easily. This paper presents the method of arranging goods in the warehouse according to continuous clusters, that mean the goods are always arranged in adjacent positions and the nearest the depot. It will help to decrease travel distance and minimize the empty location among goods. In Addition, first come first serve and first in first out algorithms are applied in storage and retrieval process to determine the exact storage location. A software is built to simulate these algorithms. The simulated warehouse contain 240 storage locations, separated by 2 storage aisles and 1 pick aisle.
机译:优化仓库空间和旅行距离是冷仓库管理中的重要任务。不仅有助于节省运营成本和旅行时间,还有助于更容易地管理商品。本文介绍了根据连续集群在仓库中安排货物的方法,这意味着货物总是排列在相邻位置和最近的仓库中。它将有助于减少行程距离,并最大限度地减少货物之间的空位置。此外,首先第一次服务,首先在第一外算法中应用于存储和检索过程以确定确切的存储位置。构建软件以模拟这些算法。模拟仓库包含240个存储位置,分隔2个存储过道和1个拾取过道。

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