Comparison between data maturity and maintenance strategy: A case sutdy
Procedia CIRP, ISSN: 2212-8271, Vol: 104, Page: 1918-1923
2021
- 4Citations
- 62Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
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.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2212827121012221; http://dx.doi.org/10.1016/j.procir.2021.11.324; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85121652058&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2212827121012221; https://dx.doi.org/10.1016/j.procir.2021.11.324
Elsevier BV
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