A review on the positive implications of augmented reality pick-by-vision in warehouse management systems

IF 0.8 Q4 ENGINEERING, INDUSTRIAL
Shaliza Jumahat, M. Sidhu, S. Shah
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引用次数: 2

Abstract

Augmented reality (AR) is a significant Fourth Industrial Revolution (IR4.0) technology that employs computer-generated display, sound, text, and effects to enhance the user's real-world experience via wearable devices. Order picking processes have had a substantial influence on overall operational efficiency in warehouse management systems (WMS). The conventional picking process is challenging to handle, which may result in deviations from the intended picking performance. Pick-by-vision, a new technological solution for order picking, is receiving growing attention and is now considered a significant WMS-supporting technology. This article explores the positive implications and prospects of utilizing AR pick-by-vision technology in the warehouse picking processes by performing a narrative review of the previous review articles. To demonstrate the focus of the main area, this study also presents the hierarchical classification structure of AR implementation in WMS and highlights the pick-by-vision method. The analysis provided important key findings by evaluating 23 articles (original articles and case studies) on AR pick-by-vision technology applications, which are significant to the prospective advantages of AR pick-by-vision deployment in warehouse operations. This study gathers knowledge and insight that can be used by both academics and professionals who are interested in optimizing this new advanced technology for future research.
增强现实视觉拣选在仓库管理系统中的积极意义综述
增强现实(AR)是一项重要的第四次工业革命(IR4.0)技术,它采用计算机生成的显示、声音、文本和效果,通过可穿戴设备增强用户的真实世界体验。订单分拣过程对仓库管理系统(WMS)的整体运营效率产生了重大影响。传统的采摘过程很难处理,这可能会导致与预期采摘性能的偏差。视觉拣选是一种新的订单拣选技术解决方案,正受到越来越多的关注,现在被认为是一种重要的WMS支持技术。本文通过对以前的综述文章进行叙述性综述,探讨了在仓库拣选过程中使用AR视觉拣选技术的积极意义和前景。为了说明主要领域的重点,本研究还提出了WMS中AR实现的分层分类结构,并重点介绍了视觉拾取方法。该分析通过评估23篇关于AR视觉拣选技术应用的文章(原创文章和案例研究)提供了重要的关键发现,这些文章对AR视觉拣选在仓库运营中的潜在优势具有重要意义。这项研究收集了学术界和专业人士都可以使用的知识和见解,他们有兴趣为未来的研究优化这项新的先进技术。
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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来源期刊
Acta Logistica
Acta Logistica Engineering-Industrial and Manufacturing Engineering
CiteScore
1.80
自引率
28.60%
发文量
36
审稿时长
4 weeks
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