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Pick-by-vision of Augmented Reality in Warehouse Picking Process Optimization - A Review

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dc.contributor.authorJumahat S.en_US
dc.contributor.authorSidhu M.S.en_US
dc.contributor.authorShah S.M.en_US
dc.contributor.authorid57208666682en_US
dc.contributor.authorid56259597000en_US
dc.contributor.authorid57220806670en_US
dc.date.accessioned2023-05-29T09:39:13Z
dc.date.available2023-05-29T09:39:13Z
dc.date.issued2022
dc.descriptionOptimization; Warehouses; Computer generated; Industrial revolutions; Operating efficiency; Order-picking; Pick-by-vision; Picking operations; Potential benefits; Process optimisation; Real-world experience; Warehouse management systems; Augmented realityen_US
dc.description.abstractAugmented Reality (AR) is one of the most notable technologies in the Fourth Industrial Revolution (IR4.0), which uses the capabilities of computer-generated display, sound, text, and effects to improve the user's real-world experience through wearable equipment. Order picking operations in warehouse management systems (WMS) have a significant impact on overall operating efficiency. The conventional picking process is laborious to handle, which may result in deviations from predefined picking performance. Pick-by-vision, a new technology solution for order picking, is becoming increasingly popular and has been recognized as an essential technology supporting WMS nowadays. This article is a short review of AR pick-by-vision utilization to investigate the potential benefits and opportunities in optimizing warehouse picking operations. Besides presenting the basic concept of AR pick-by-vision, this study also produces a taxonomy layout of literature reviews for AR technology in WMS, to demonstrate the focus of the main area of the study. By reviewing 23 documents of AR pick-by-vision technology application, the analysis has produced important key findings, which are significant to the potential benefits of AR pick-by-vision implementation in optimizing the warehouse operation. The accumulation of knowledge and actionable insights in this study will benefit both academics and practitioners interested in this emerging smart technology for future research. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/IICAIET55139.2022.9936785
dc.identifier.scopus2-s2.0-85142284469
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85142284469&doi=10.1109%2fIICAIET55139.2022.9936785&partnerID=40&md5=1f8d2ebcfe6993694d434102044184b5
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27067
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitle4th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2022
dc.titlePick-by-vision of Augmented Reality in Warehouse Picking Process Optimization - A Reviewen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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