A predictive maintenance cost model for CNC SMEs in the era of industry 4.0

Kwaku Adu-Amankwa, Ashraf K.A. Attia, Mukund Nilakantan Janardhanan, Imran Patel

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
152 Downloads (Pure)


Within the subject area of maintenance and maintenance management, authors identified a deficiency in studies focussing on the expected value from adopting predictive maintenance (PdM) techniques for machine tools (MTs). Authors identified no studies focussing on presenting a PdM value analysis or cost model specifically for small-medium enterprises (SMEs) operating computer numerically controlled (CNC) MTs. This paper’s novelty is addressing SMEs’ minimal representation in literature by explanatorily collecting data from SMEs within the focal area via surveys, modelling and analysing datasets, then proposes a cost-effective PdM system architecture for SME CNC machine shops that predicts cost savings ranging from £22,804 to £48,585 over a range of 1–50 CNC MTs maintained on a distributed numerically controlled (DNC) network. It affirms PdM’s tangible value creation for SME CNC machine shops with predicted positive impacts on their MT cost and performance drivers. These exploratory research findings corroborate SMEs pooling together to optimise their CNC MT maintenance cost through the recommended system architecture. Finally, it introduces opportunities for further PdM research taking into account SMEs’ perspective. The paper’s industrial application is confirmed from the surveyed SMEs that demonstrated their current utility of PdM; then anonymous positive feedback on the online dashboard, shared with participant companies, confirmed the research results supported SMEs in considering exploring the path to adapting PdM. It is anticipated that beneficiaries of this research will be maintenance managers, business executives and researchers who seek to understand the expected financial and performance impact of adopting PdM for a MT’s overall life cycle costs.

Original languageEnglish
Pages (from-to)3567-3587
Number of pages21
JournalInternational Journal of Advanced Manufacturing Technology
Issue number9-12
Early online date13 Jul 2019
Publication statusPublished - 31 Oct 2019


  • industry 4.0
  • machine maintenance cost
  • machine tool
  • predictive maintenance


Dive into the research topics of 'A predictive maintenance cost model for CNC SMEs in the era of industry 4.0'. Together they form a unique fingerprint.

Cite this