Smart retrofitting in maintenance: a systematic literature review
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DOI: 10.1007/s10845-022-02002-2
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References listed on IDEAS
- Muchiri, Peter & Pintelon, Liliane & Gelders, Ludo & Martin, Harry, 2011. "Development of maintenance function performance measurement framework and indicators," International Journal of Production Economics, Elsevier, vol. 131(1), pages 295-302, May.
- Wo Jae Lee & Kevin Xia & Nancy L. Denton & Bruno Ribeiro & John W. Sutherland, 2021. "Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 393-406, February.
- Alessandro Liberati & Douglas G Altman & Jennifer Tetzlaff & Cynthia Mulrow & Peter C Gøtzsche & John P A Ioannidis & Mike Clarke & P J Devereaux & Jos Kleijnen & David Moher, 2009. "The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-28, July.
- Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
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Cited by:
- Giacomo Barbieri & Jose Daniel Hernandez, 2024. "Sustainability Indices and RAM Analysis for Maintenance Decision Making Considering Environmental Sustainability," Sustainability, MDPI, vol. 16(3), pages 1-23, January.
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Keywords
Smart retrofitting; Maintenance; Asset management; Industry 4.0; Cyber-physical systems;All these keywords.
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