Evaluation of the effectiveness of methods and criteria for product classification in the warehouse

A. Lorenc, M. Szkoda, A. Szarata, I. Jacyna-Gołda
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引用次数: 1

Abstract

The paper presents an algorithm for calculating the approximate picking time. In order to perform a simulation, the PickupSimulo software was developed. For this purpose, the PHP language and MySQL relational databases were used. The PickupSimulo makes it possible to define the warehouse topology, solve the product allocation problem (PAP) based on pre-defined criteria and calculate an approximate time of the picking process for that product layout. The warehouse under analysis enables the stocking of over 22,000 pallets. Two variants were analysed. In the first one, the product weight does not matter, whilst in the other the picker must make sure the lightest products are placed at the top of the logistic unit. Such an approach reduces the risk of damaging light products by heavy ones. The research results show that the presented method enables a reduction of the total warehouse costs by 10–16%. [Received: 18 August 2017; Revised: 20 May 2018; Revised: 18 December 2018; Accepted: 20 May 2019].
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评估仓库产品分类方法和标准的有效性
本文提出了一种计算近似采摘时间的算法。为了进行仿真,开发了PickupSimulo软件。为此,使用了PHP语言和MySQL关系数据库。PickupSimulo可以定义仓库拓扑结构,根据预定义的标准解决产品分配问题(PAP),并计算出该产品布局的挑选过程的大致时间。正在分析的仓库能够储存超过22 000个托盘。分析了两种变体。在第一个,产品的重量不重要,而在另一个采摘必须确保最轻的产品被放置在物流单元的顶部。这种方法降低了轻产品被重产品损坏的风险。研究结果表明,该方法可使仓库总成本降低10-16%。[收稿日期:2017年8月18日;修订日期:2018年5月20日;修订日期:2018年12月18日;[录用日期:2019年5月20日]。
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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