A maturity model for valuable maintenance data management

Marttonen-Arola, Salla and Baglee, David (2021) A maturity model for valuable maintenance data management. International Journal of Strategic Engineering Asset Management. ISSN 1759-9733 (In Press)

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Abstract

The increasing data provide new opportunities for data-based maintenance management. However, decision
makers are struggling to harvest optimally value from their data. This paper presents a maturity model to
support analysing maintenance data management processes from the value perspective. Maturity models related
to data management and business intelligence have been presented before, but they have not addressed the
specific features of maintenance, and have not analysed what makes data valuable. The model presented in this
paper categorizes value of data into six dimensions, and defines five maturity levels to assess them. A real-life
industrial case example is presented to demonstrate the use of the model. The model takes into account that the
most advanced data management solutions do not always represent the optimal target level for every situation.
For instance many small and medium enterprises would struggle creating enough additional value from big data
to make the required investment profitable.

Item Type: Article
Divisions: Faculty of Technology > School of Engineering
Depositing User: Leah Maughan
Date Deposited: 11 Jan 2021 11:00
Last Modified: 11 Jan 2021 11:00
URI: http://sure.sunderland.ac.uk/id/eprint/12976
ORCID for Salla Marttonen-Arola: ORCID iD orcid.org/0000-0001-6631-7359
ORCID for David Baglee: ORCID iD orcid.org/0000-0002-7335-5609

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