RAM analysis to support maintenance decision-making considering environmental sustainability

dc.contributorBarbieri, Giacomo
dc.contributorMuñoz Camargo, Luis Ernesto
dc.contributorFranciosi, Chiara
dc.creatorHernández Rodríguez, José Daniel
dc.date.accessioned2022-07-22T16:06:58Z
dc.date.available2022-07-22T16:06:58Z
dc.date.created2022-07-22T16:06:58Z
dc.date.issued2022-06-02
dc.identifierhttp://hdl.handle.net/1992/59071
dc.identifierinstname:Universidad de los Andes
dc.identifierreponame:Repositorio Institucional Séneca
dc.identifierrepourl:https://repositorio.uniandes.edu.co/
dc.description.abstractDue to current social, environmental, and regulatory pressures, modern industries are faced with the challenge of considering sustainability in their decision-making. This has caused rising interest in the field of sustainable development from an industrial perspective. Particularly, maintenance activities have been identified as a considerable contributor to environmental sustainability aspects. This paper presents a simulation methodology, using Reliability, Availability, Maintainability analysis, though Monte-Carlo simulation, that aims to sup-port decision-making considering environmental sustainability. Moreover, this methodology allows for the implementation of criticality-based decision-making. Through the application of the methodology in a hypothetical case study, we found that it can be useful in maintenance decision-making considering environmental sustainability improvements and economic tradeoffs.
dc.languageeng
dc.publisherUniversidad de los Andes
dc.publisherMaestría en Ingeniería Mecánica
dc.publisherFacultad de Ingeniería
dc.publisherDepartamento de Ingeniería Mecánica
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dc.rightsAttribution-NoDerivatives 4.0 Internacional
dc.rightsAttribution-NoDerivatives 4.0 Internacional
dc.rightshttp://creativecommons.org/licenses/by-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.titleRAM analysis to support maintenance decision-making considering environmental sustainability
dc.typeTrabajo de grado - Maestría


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