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An algorithm for batching, sequencing and picking operations in a warehouse

机译:用于仓库中的批处理,排序和拣配操作的算法

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Order Batching is an optimization problem related to the picking process of orders in a warehouse. It consists in grouping the orders (each order is composed by a list of items to be collected) received in a warehouse in a set of batches of a maximum fixed capacity. Then, a route to collect the items in the same batch must be conformed. In this paper we tackle a variant of this problem known as Order Batching and Sequencing Problem where each order has a certain due date. This variant consists in grouping the orders into batches and then sequencing them, in such a way that the tardiness of each order (the extra time over the due date needed to collect it) is minimized. In this paper we propose a Variable Neighborhood Search algorithm to tackle the problem. Our approach outperforms previous attempts in the state of the art.
机译:订单批处理是与仓库中的订单拣配过程相关的优化问题。它包括将一组仓库中收到的最大固定容量的订单(每个订单由要收集的物品清单组成)分组。然后,必须符合收集同一批物品的路线。在本文中,我们解决了此问题的一个变体,称为订单批处理和排序问题,其中每个订单都有特定的到期日。此变体包括将订单分组,然后对它们进行排序,以使每个订单的拖延时间(收集订单所需的到期时间中的额外时间)最小化。在本文中,我们提出了一种可变邻域搜索算法来解决该问题。我们的方法优于现有技术中的尝试。

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