Augmented reality in support of intelligent manufacturing - a systematic literature review
Egger, Johannes and Masood, Tariq (2020) Augmented reality in support of intelligent manufacturing - a systematic literature review. Computers and Industrial Engineering, 140. 106195. ISSN 0360-8352 (https://doi.org/10.1016/j.cie.2019.106195)
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Abstract
Industry increasingly moves towards digitally enabled ‘smart factories’ that utilise the internet of things (IoT) to realise intelligent manufacturing concepts like predictive maintenance or extensive machine to machine communication. A core technology to facilitate human integration in such a system is augmented reality (AR), which provides people with an interface to interact with the digital world of a smart factory. While AR is not ready yet for industrial deployment in some areas, it is already used in others. To provide an overview of research activities concerning AR in certain shop floor operations, a total of 96 relevant papers from 2011 to 2018 are reviewed. This paper presents the state of the art, the current challenges, and future directions of manufacturing related AR research through a systematic literature review and a citation network analysis. The results of this review indicate that the context of research concerning AR gets increasingly broader, especially by addressing challenges when implementing AR solutions.
ORCID iDs
Egger, Johannes and Masood, Tariq ORCID: https://orcid.org/0000-0002-9933-6940;-
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Item type: Article ID code: 74483 Dates: DateEvent29 February 2020Published3 December 2019Published Online18 November 2019AcceptedSubjects: Technology > Manufactures Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 03 Nov 2020 16:30 Last modified: 22 Dec 2024 01:26 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/74483