2023
DOI: 10.1108/ijqrm-01-2023-0012
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A rule-based machine learning methodology for the proactive improvement of OEE: a real case study

Laura Lucantoni,
Sara Antomarioni,
Filippo Emanuele Ciarapica
et al.

Abstract: PurposeThe Overall Equipment Effectiveness (OEE) is considered a standard for measuring equipment productivity in terms of efficiency. Still, Artificial Intelligence solutions are rarely used for analyzing OEE results and identifying corrective actions. Therefore, the approach proposed in this paper aims to provide a new rule-based Machine Learning (ML) framework for OEE enhancement and the selection of improvement actions.Design/methodology/approachAssociation Rules (ARs) are used as a rule-based ML method fo… Show more

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