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

M. Bustillo, Borja Menéndez, Eduardo G. Pardo, A. Duarte
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引用次数: 12

Abstract

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.
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仓库中批处理、排序和拣货操作的算法
订单批处理是一个与仓库中订单拣选过程相关的优化问题。它包括将仓库中接收的订单(每个订单由要收集的物品列表组成)分组为最大固定容量的一组批次。然后,必须符合同一批次物品的收集路径。在本文中,我们解决了这个问题的一个变体,称为订单批处理和排序问题,其中每个订单都有一定的到期日。这种变体包括将订单分组,然后对它们进行排序,以使每个订单的延迟(收集它所需的超过到期日的额外时间)最小化。本文提出了一种可变邻域搜索算法来解决这个问题。我们的方法在技术水平上优于以前的尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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