A variable neighbourhood search for minimization of operation times through warehouse layout optimization

Pub Date : 2024-03-27 DOI:10.1093/jigpal/jzae018
Jon Díaz, Haizea Rodriguez, Jenny Fajardo-Calderín, Ignacio Angulo, Enrique Onieva
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Abstract

For companies involved in the supply chain, proper warehousing management is crucial. Warehouse layout arrangement and operation play a critical role in a company’s ability to maintain and improve its competitiveness. Reducing costs and increasing efficiency are two of the most crucial warehousing goals. Deciding on the best warehouse layout is a remarkable optimization problem. This paper uses an optimization method to set bin allocations within an automated warehouse with particular characteristics. The warehouse’s initial layout and the automated platforms limit the search and define the time required to move goods within the warehouse. With the help of historical data and the definition of the time needed to move goods, a mathematical model of warehouse operation was created. An optimization procedure based on the well-known Variable Neighbourhood Search algorithm is defined and applied to the problem. Experimental results demonstrate increments in the efficiency of warehousing operations.
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通过优化仓库布局实现操作时间最小化的可变邻域搜索
对于参与供应链的公司来说,适当的仓储管理至关重要。仓库的布局安排和运作对公司保持和提高竞争力起着至关重要的作用。降低成本和提高效率是仓储最重要的两个目标。决定最佳仓库布局是一个重要的优化问题。本文采用一种优化方法,在一个具有特定特征的自动化仓库内设定仓位分配。仓库的初始布局和自动化平台限制了搜索,并确定了在仓库内移动货物所需的时间。在历史数据和货物移动所需时间定义的帮助下,创建了一个仓库运行的数学模型。基于著名的可变邻域搜索算法的优化程序被定义并应用于该问题。实验结果表明,仓储作业的效率得到了提高。
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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