Article (Scientific journals)
Hypotheses in Opportunistic Maintenance Modeling: A Critical and Systematic Literature Review
EQUETER, Lucas; Do, Phuc; COLANTONIO, Lorenzo et al.
2025In Machines, 13 (10), p. 947
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Keywords :
opportunistic maintenance; dependence modeling; skills management; resource constraints
Abstract :
[en] Because they account for realistic effects in opportunistic maintenance modeling, dependency hypotheses are extremely diverse in the literature. Despite recent reviews, a clear view of the dependency hypotheses is currently missing in the literature, especially regarding component interactions, resource constraints and human factors. In this paper, we provide a conceptual background on dependence modeling and the notion of maintenance opportunity. Then, a critical systematic literature review, following the PRISMA guidelines, is carried out, focusing on the current hypotheses in opportunistic maintenance, including component interactions, workers’ skills and resource constraints, economic dependence and optimization objectives. The different dependence types are identified and defined, and their presence in the literature is quantified. The included papers in this review (n=91) were selected on the basis of relevance to the research questions from the Web of Science, Scopus and Google Scholar databases. Exclusion criteria were set, related to the year of publication (from 2000) and language (limited to French or English), and inclusion criteria required the paper to cover modeling, simulating or reviewing literature related to opportunistic maintenance with dependencies. The results show that economic dependence is mostly modeled by sharing downtime or set-up costs. The objective function for optimization is mostly found to be the economic cost of maintenance, with concerningly little consideration for environmental indicators. These results are finally discussed in light of advances in predictive analytics and current challenges in the sustainability of industrial processes. Further developments should consider including the social and environmental aspects of sustainability in the dependencies, but also look into the benefits that predictive analytics can bring to opportunistic maintenance. The variety of modeling assumptions and dependences presented in the literature does not always allow comparing the results of the models.
Disciplines :
Mechanical engineering
Author, co-author :
EQUETER, Lucas  ;  Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Mécanique
Do, Phuc ;  SyCoIA, IMT Mines Alès, 30100 Alès, France
COLANTONIO, Lorenzo  ;  Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Mécanique
TIBERI, Luca  ;  Université de Mons - UMONS > Faculté de Psychologie et des Sciences de l'Education > Service de Psychopathologie légale
DEHOMBREUX, Pierre  ;  Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Mécanique
Iung, Benoît ;  Centre de Recherche en Automatique de Nancy (CRAN), UMR CNRS 7039, Université de Lorraine, 54000 Nancy, France
Language :
English
Title :
Hypotheses in Opportunistic Maintenance Modeling: A Critical and Systematic Literature Review
Publication date :
14 October 2025
Journal title :
Machines
ISSN :
2075-1702
Publisher :
MDPI AG
Volume :
13
Issue :
10
Pages :
947
Peer reviewed :
Peer Reviewed verified by ORBi
Development Goals :
9. Industry, innovation and infrastructure
8. Decent work and economic growth
Research unit :
F707 - Génie Mécanique
Research institute :
R500 - Institut des Sciences et du Management des Risques
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique
Funding number :
40015776
Available on ORBi UMONS :
since 18 October 2025

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