Comparison between data maturity and maintenance strategy: A case study

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

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperConference articleResearchpeer-review

Abstract

From Industry 4.0 there has been a substantial drive towards sensor networks for enabling predictive maintenance as essential in asset management. This paper analyze sensor data maturity and asset management strategy. A model is proposed for establishing a best-fit correlation between data maturity and maintenance strategy both as for the current situation and guide for future development. The findings are based on literature and case studies in the SME segment. Research implications are to view enterprise strategy as a balance between chosen maturity and operational needs. Practical implications are the possibility to sustain or improve and qualify investment planning.
Original languageEnglish
JournalProcedia CIRP
Volume104
Pages (from-to)1918-1923
Number of pages6
ISSN2212-8271
DOIs
Publication statusPublished - Sept 2021
Event54th CIRP Conference on Manufacturing Systems: "Towards Digitalized Manufacturing 4.0" - Virtual conference
Duration: 22 Sept 202124 Sept 2021
Conference number: 54

Conference

Conference54th CIRP Conference on Manufacturing Systems
Number54
LocationVirtual conference
Period22/09/202124/09/2021

Keywords

  • Asset management
  • Data Maturity
  • Internet-of-things
  • Manufacturing
  • Predictive Maintenance
  • SME
  • Sensor Networks

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