Comparison between data maturity and maintenance strategy: A case study

Lucas Peter Høj Brasen, Oliver Fuglsang Grooss, Torben Tambo*

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisKonferenceartikelForskningpeer review

Abstract

With the rise of Industry 4.0, there has been a substantial drive towards sensor networks for enabling predictive maintenance as an essential component of asset management. This study analyses sensor data maturity and asset management strategy. A model is proposed for establishing a best-fit correlation between data maturity and maintenance strategy, both for the current situation and as a guide for future development. The findings are based on the literature and case studies for small and medium-sized enterprises. The research implication is to view enterprise strategy as a balance between the chosen maturity and operational needs. The practical implication is the possibility to sustain or improve and qualify investment planning.

OriginalsprogEngelsk
TidsskriftProcedia CIRP
Vol/bind104
Sider (fra-til)1918-1923
Antal sider6
ISSN2212-8271
DOI
StatusUdgivet - sep. 2021
Begivenhed54th CIRP Conference on Manufacturing Systems: "Towards Digitalized Manufacturing 4.0" - Virtual conference
Varighed: 22 sep. 202124 sep. 2021
Konferencens nummer: 54

Konference

Konference54th CIRP Conference on Manufacturing Systems
Nummer54
LokationVirtual conference
Periode22/09/202124/09/2021

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