dc.contributor.author | Nordal, Helge | |
dc.contributor.author | El-Thalji, Idriss | |
dc.date.accessioned | 2023-01-03T11:57:59Z | |
dc.date.available | 2023-01-03T11:57:59Z | |
dc.date.created | 2021-03-01T16:43:56Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Nordal, H., & El‐Thalji, I. (2021). Modeling a predictive maintenance management architecture to meet industry 4.0 requirements: A case study. Systems Engineering, 24(1), 34-50. | en_US |
dc.identifier.issn | 1098-1241 | |
dc.identifier.uri | https://hdl.handle.net/11250/3040611 | |
dc.description.abstract | Industry 4.0 is the latest paradigm of industrial production enabling a new level of organizing and controlling the entire value chain within a product life cycle by creating a dynamic and real-time understanding of cross-company behaviors. It is expected to have a considerable impact in the oil and gas (O&G) sector by revolutionizing current predictive maintenance and operation optimization. There are several challenges to be overcome before the Industry 4.0 vision is achieved: a standardized reference architecture, a business model, robust services, and products are all lacking. This paper develops a reference architecture for an intelligent maintenance management system that complies with Industry 4.0 visions and requirements. The industrial needs were derived from stakeholders and use case scenarios using a case study methodology. Systems engineering methods were applied to transfer the needs of the existing maintenance management system into a desired functional architecture. The new and upgraded requirements are predominantly related to advanced data analytics, resulting in new and modified functions within the traditional “Reporting” and “Analyses” modules. A more complex maintenance program is created through interfaces between various enabled data categories (historical records, real-time measurements of performance and health, expert-just-in-time). The study points to the changes required in the classical O&G maintenance management process to comply with Industry 4.0 vision and requirements. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | John Wiley & Sons | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Modeling a predictive maintenance management architectureto meet industry 4.0 requirements: A case study | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.subject.nsi | VDP::Teknologi: 500 | en_US |
dc.source.pagenumber | 34-50 | en_US |
dc.source.volume | 24 | en_US |
dc.source.journal | Systems Engineering | en_US |
dc.source.issue | 1 | en_US |
dc.identifier.doi | 10.1002/sys.21565 | |
dc.identifier.cristin | 1894645 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |