Applied Sciences (Sep 2022)

A Maintenance Maturity Model for Assessing Information Management Practices for Small and Medium Enterprises (M<sup>3</sup>AIN4SME)

  • Alessia Maria Rosaria Tortora,
  • Valentina Di Pasquale,
  • Raffaele Iannone

DOI
https://doi.org/10.3390/app12189282
Journal volume & issue
Vol. 12, no. 18
p. 9282

Abstract

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Maintenance management is assuming an increasingly important role and garnering increased attention in Small and Medium Enterprises (SMEs). However, the difficulty of collecting data and processing information is evident in such contexts. In the current literature, few maintenance maturity models focus on the maintenance information management practices field. Moreover, though the existing models allow for assessing the maturity level, they do not indicate or assist in identifying and defining actions to reach the highest level. Furthermore, these models are not suitable for any type of organisation, as the assessment areas defined are quite generic (high level). For this reason, this paper proposes an innovative model for assessing the maturity level of maintenance management information practices in Small and Medium Enterprises (SMEs). The model provides the organisation with the strengths and weaknesses of their maintenance information management practices. The proposed model allows a clear measure of the maturity of the maintenance information management practices in smaller industrial contexts and provides a customised improvement programme. The model proposed supports small and medium companies to improve the effectiveness and efficiency of their maintenance management information infrastructure. The maturity model developed, in addition to being an assessment tool, provides and supports knowledge on the behaviours and practices for achieving world-class results.

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