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Enabling Industrial Mixed Reality Using Digital Continuity: An Experiment Within Remanufacturing
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Production and Automation Engineering)ORCID iD: 0000-0002-8152-2315
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Production and Automation Engineering)ORCID iD: 0000-0003-3973-3394
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Distributed Real-Time Systems (DRTS))ORCID iD: 0000-0003-2895-0780
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Production and Automation Engineering)ORCID iD: 0000-0002-0880-2572
2022 (English)In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam; Berlin; Washington, DC: IOS Press, 2022, p. 497-507Conference paper, Published paper (Refereed)
Abstract [en]

In the digitalisation era, overlaying digital, contextualised information on top of the physical world is essential for an efficient operation. Mixed reality (MR) is a technology designed for this purpose, and it is considered one of the critical drivers of Industry 4.0. This technology has proven to have multiple benefits in the manufacturing area, including improving flexibility, efficacy, and efficiency. Among the challenges that prevent the big-scale implementation of this technology, there is the authoring challenge, which we address by answering the following research questions: (1) “how can we fasten MR authoring in a manufacturing context?” and (2) “how can we reduce the deployment time of industrial MR experiences?”. This paper presents an experiment performed in collaboration with Volvo within the remanufacturing of truck engines. MR seems to be more valuable for remanufacturing than for many other applications in the manufacturing industry, and the authoring challenge appears to be accentuated. In this experiment, product lifecycle management (PLM) tools are used along with internet of things (IoT) platforms and MR devices. This joint system is designed to keep the information up-to-date and ready to be used when needed. Having all the necessary data cascading from the PLM platform to the MR device using IoT prevents information silos and improves the system’s overall reliability. Results from the experiment show how the interconnection of information systems can significantly reduce development and deployment time. Experiment findings include a considerable increment in the complexity of the overall IT system, the need for substantial investment in it, and the necessity of having highly qualified IT staff. The main contribution of this paper is a systematic approach to the design of industrial MR experiences.

Place, publisher, year, edition, pages
Amsterdam; Berlin; Washington, DC: IOS Press, 2022. p. 497-507
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 21
Keywords [en]
Mixed reality, Digital Continuity, Product Lifecycle Management, Remanufacturing, Industry 4.0
National Category
Production Engineering, Human Work Science and Ergonomics Information Systems Other Electrical Engineering, Electronic Engineering, Information Engineering Other Mechanical Engineering Computer Systems
Research subject
Production and Automation Engineering; Distributed Real-Time Systems; VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-21105DOI: 10.3233/ATDE220168ISI: 001191233200042Scopus ID: 2-s2.0-85132823251ISBN: 978-1-64368-268-6 (print)ISBN: 978-1-64368-269-3 (electronic)OAI: oai:DiVA.org:his-21105DiVA, id: diva2:1655417
Conference
10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Funder
Vinnova, 2019-00787
Note

CC BY-NC 4.0

Corresponding Author: victor.igelmo.garcia@his.se

The authors wish to thank the Swedish innovation agency Vinnova and the Strategic Innovation Programme Produktion2030 (funding number 2019-00787). Likewise, the authors [wish to thank Volvo AB.]

Available from: 2022-05-02 Created: 2022-05-02 Last updated: 2024-06-19Bibliographically approved

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Igelmo, VictorSyberfeldt, AnnaHansson, JörgenAslam, Tehseen

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