A pilot study of industry 4.0 asset interoperability challenges in an industry 4.0 laboratory

S. C. Jepsen*, T. I. Mork, J. Hviid, T. Worm

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Abstrakt

System integration is a crucial concept in the Industry 4.0 (I4.0) vision, where information processes supporting flexible production are digital. System integration paves the way for leveraging the Industrial Internet of Things, big data analysis, simulation, cloud computing, and augmented reality. The first step towards system integration is to examine the assets (machine software) ability to exchange information in an I4.0 setting. This paper aims to analyze challenges for asset interoperability by conducting asset integration in the University I4.0 laboratory (I4.0 lab). Conducting asset integration has been a part of building an Information Backbone (IB) as a minimum viable product in the I4.0 lab. An IB is a software infrastructure that involves integrating into various assets, e.g., warehouse, transport, and robotic systems, and providing communication among them. The pilot study reveals that the maturity of assets interoperability readiness are at very different levels, e.g. missing external interfaces, poor documentation, and varying technologies. These challenges need to be further addressed to collect architectural requirements for system integration, and establish a common vocabulary and understanding of I4.0 concepts.

OriginalsprogEngelsk
Titel2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
ForlagIEEE
Publikationsdatodec. 2020
Sider571-575
ISBN (Elektronisk)9781538672204
DOI
StatusUdgivet - dec. 2020
Begivenhed2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020 - Virtual, Singapore, Singapore
Varighed: 14. dec. 202017. dec. 2020

Konference

Konference2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
Land/OmrådeSingapore
ByVirtual, Singapore
Periode14/12/202017/12/2020

Bibliografisk note

Funding Information:
Supported by University of Industry 4.0 Initiative.

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

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