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Adaptive OEE

2026-05-13Artigo científico Acesso aberto
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dc.contributor.authorAnes, Vitor
dc.contributor.authorMarques, Pedro
dc.contributor.authorAbreu, António
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.institutionUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
dc.contributor.institutionDEMI - Departamento de Engenharia Mecânica e Industrial
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2026-07-17T17:01:01Z
dc.date.available2026-07-17T17:01:01Z
dc.date.issued2026-05-13
dc.descriptionPublisher Copyright: © 2026 by the authors.
dc.description.abstractOverall Equipment Effectiveness (OEE) measures manufacturing productivity as the product of Availability (A), Performance (P), and Quality (Q). Despite its widespread adoption, the classical OEE formula embeds a structural limitation, i.e., the three components are treated as equally important regardless of operational context. This fixed-weight assumption distorts maintenance prioritisation in environments where one component dominates operational losses. To the best of the authors’ knowledge, no published framework has formally addressed this limitation through a structured, auditable multi-criteria weighting model. This paper proposes Adaptive OEE, a FUCOM–TOPSIS framework that replaces the fixed A × P × Q product with a context-driven weighting model. FUCOM derives context-specific weights for A, P, and Q from expert judgement with minimum elicitation effort and mathematically guaranteed consistency. TOPSIS is adapted from its classical formulation by replacing data-derived ideal solutions with fixed reference poles defined independently of the observed data, ensuring that the effectiveness score of each asset is not influenced by the performance of other assets in the dataset. Three illustrative case studies covering availability-dominant, performance-dominant, and quality-dominant industrial scenarios suggest that classical OEE rankings are not preserved under asymmetric weight configurations, with ranking divergence being most severe when one component carries strongly asymmetric weight, precisely the condition that equal weighting cannot accommodate. The principal contributions are the formalisation of the equal-weight assumption as a formal methodological limitation, the replacement of multiplicative aggregation with a weighted distance measure, and the adaptation of TOPSIS with fixed reference poles for context-independent asset scoring. The framework is directly applicable by maintenance managers and industrial engineers seeking operationally justified equipment rankings without specialised analytical expertise.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent24
dc.format.extent2209503
dc.identifier.doi10.3390/app16104835
dc.identifier.issn2076-3417
dc.identifier.otherPURE: 166449106
dc.identifier.otherPURE UUID: 9eb9474f-eab4-4453-b922-1f10232a4e14
dc.identifier.otherScopus: 105040087934
dc.identifier.otherWOS: 001774173200001
dc.identifier.urihttp://hdl.handle.net/10362/204655
dc.identifier.urlhttps://www.scopus.com/pages/publications/105040087934
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001774173200001
dc.language.isoeng
dc.peerreviewedyes
dc.subjectAdaptive OEE
dc.subjectAsset management
dc.subjectContext-driven weighting
dc.subjectEquipment effectiveness measurement
dc.subjectFUCOM
dc.subjectMaintenance prioritisation
dc.subjectMulti-criteria decision making
dc.subjectOverall equipment effectiveness
dc.subjectTOPSIS
dc.subjectGeneral Materials Science
dc.subjectInstrumentation
dc.subjectGeneral Engineering
dc.subjectProcess Chemistry and Technology
dc.subjectComputer Science Applications
dc.subjectFluid Flow and Transfer Processes
dc.titleAdaptive OEEen
dc.title.subtitleA FUCOM-TOPSIS Framework for Context-Driven Equipment Effectivenessen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue10
degois.publication.lastPage24
degois.publication.titleApplied Sciences (Switzerland)
degois.publication.volume16
dspace.entity.typePublication
rcaap.rightsopenAccess

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