一种基于人机工程学标准的人工拣货布局设计与仓储分配方法

IF 3.6 Q2 MANAGEMENT Logistics-Basel Pub Date : 2022-12-06 DOI:10.3390/logistics6040083
Vasiliki Kapou, S. Ponis, G. Plakas, E. Aretoulaki
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引用次数: 0

摘要

背景:本文旨在通过提出一种创新的拣货区域布局设计方法,并引入一种考虑人体工程学和工人身体疲劳的存储分配策略,来提高手动仓库订单拣货(OP)流程的整体性能。方法:提出的方法基于大小和ABC分析对可用的分拣槽进行分类。¦t考虑了与每种插槽类型的机架高度和行程距离限制相关的一组人体工程学约束,从而根据每种插槽的单独特征为其分配位置。为此,所提出的方法引入了一种创新的“火焰形状”过道布局。最后,通过排名系统,根据产品的重量、受欢迎程度和位置来衡量检索产品的“难度”,将产品分配到其最佳位置,目标是OP时间最小化、平衡工作量分配和人体工程学优化。结果:提出的方法使生产率提高了14.9%,同时“难度”指数显著降低了31%。结论:研究结果表明,当以行程距离和手动工作量最小化为目标来确定分拣区域布局和存储设计时,可以显著提高性能。
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An Innovative Layout Design and Storage Assignment Method for Manual Order Picking with Respect to Ergonomic Criteria
Background: This paper aims to improve the overall performance of manual warehouse Order Picking (OP) processes by proposing an innovative method for designing a picking area layout, and introducing a storage assignment strategy with respect to ergonomics and workers’ physical fatigue. Methods: The proposed method categorizes the available picking slots based on size and ABC analysis. Ιt takes into consideration a set of ergonomic constraints pertinent to the rack heights and travel distance restrictions for each slot type, leading to the assignment of a location to each slot type based on its individual characteristics. In doing so, the proposed method introduces an innovative ‘flame-shape’ aisle layout. Finally, the products are assigned to their optimal locations, targeting OP time minimization, balanced workload allocation, and ergonomics optimization through a ranking system measuring the ‘difficulty’ of retrieving the products based on their weight, popularity, and slot location. Results: The proposed method led to a productivity rise of 14.9% along with a significant decrease of the ‘difficulty’ index, by 31%. Conclusions: The results prove that a prominent performance improvement can be achieved when both travel distance and manual workload minimization are targeted for determining the picking area layout and storage design.
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来源期刊
Logistics-Basel
Logistics-Basel Multiple-
CiteScore
6.60
自引率
0.00%
发文量
0
审稿时长
11 weeks
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