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Enhancing Smart Maintenance Management Using Fog Computing Technology
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. IS (Embedded Systems).ORCID iD: 0000-0002-0729-0122
2017 (English)In: 2017 International Conference on Industrial Engineering and Engineering Management IEEM, 2017, p. 1561-1565Conference paper, Published paper (Refereed)
Abstract [en]

In order for factories to stay competitive in the current open global market, there should be efforts to put on optimizing the value stream of producing goods. Within this context, Industrial Internet of Things (IIoT) has been emerged as a technology aiming at achieving high productivity performance in manufacturing. A smart manufacturing approach also requires a smart maintenance management as it plays a crucial role in securing the productivity. IIoT applications are traditionally completed by the cloud computing technology to serve the required services. In this paper, we argue that maintenance processes have requirements that cannot be accomplished by solely the cloud computing technology. We identify several of these requirements. Then, we propose a platform using the fog computing technology, as a recently raised technology in IIoT, to enhance the smart maintenance management. We also discuss the ability of the platform in fulfilling the identified requirements.

Place, publisher, year, edition, pages
2017. p. 1561-1565
Series
International Conference on Industrial Engineering and Engineering Management IEEM, ISSN 2157-3611
Keywords [en]
Smart maintenance; Cloud Computing; Fog Computing; Industry 4.0; Smart factory
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:mdh:diva-37046DOI: 10.1109/IEEM.2017.8290155ISI: 000428267800317Scopus ID: 2-s2.0-85045251407OAI: oai:DiVA.org:mdh-37046DiVA, id: diva2:1157865
Conference
2017 International Conference on Industrial Engineering and Engineering Management IEEM, 10 Dec 2017, Singapore, Singapore
Projects
XPRES - Excellence in Production ResearchFuture factories in the CloudAvailable from: 2017-11-16 Created: 2017-11-16 Last updated: 2020-02-04Bibliographically approved

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Ashjaei, Seyed Mohammad HosseinBengtsson, Marcus

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  • apa
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