Dynamic risk assessment for CBM-based adaptation of maintenance planning

This paper proposes a practical method for dynamic maintenance planning based on Dynamic Risk Assessment (DRA). This is founded on the interpretation, in terms of risk levels evolution, the available information of monitoring events and maintenance activities integrated in and that conform the condi...

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Detalles Bibliográficos
Autores: Martínez-Galán Fernández, Pablo, Guillén López, Antonio Jesús, Crespo Márquez, Adolfo, Gómez Fernández, Juan Fco., Marcos Alberca, Jose Antonio
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/116191
Acceso en línea:https://hdl.handle.net/20.500.14352/116191
Access Level:acceso abierto
Palabra clave:DRA
CBM
Maintenance decision making
Maintenance planning
Risk-based maintenance
Risk levels
Ciencias Sociales
5311 Organización y Dirección de Empresas
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spelling Dynamic risk assessment for CBM-based adaptation of maintenance planningMartínez-Galán Fernández, PabloGuillén López, Antonio JesúsCrespo Márquez, AdolfoGómez Fernández, Juan Fco.Marcos Alberca, Jose AntonioDRACBMMaintenance decision makingMaintenance planningRisk-based maintenanceRisk levelsCiencias Sociales5311 Organización y Dirección de EmpresasThis paper proposes a practical method for dynamic maintenance planning based on Dynamic Risk Assessment (DRA). This is founded on the interpretation, in terms of risk levels evolution, the available information of monitoring events and maintenance activities integrated in and that conform the condition-based maintenance (CBM) processes. DRA proposal is supported by ISO 31000 risk management framework in order to better understanding and results integration within other risk management approaches. Proposed method analyzes CBM results (monitoring events and maintenance activities) regarding their impact on failure risk level, and how to program and manage maintenance decision making (maintenance planning) regarding with dynamic risk evolution. This strategy not only helps maintenance management optimization but also facilitates the link of intelligent maintenance with global risk management within the organization, which is lined with modern Asset Management principles. To illustrate the method, an example of a real use case is presented where it is applied to the dynamic maintenance planning of a critical component in a high-speed train, and which integrates monitoring, predictive analytics and inspection dataElsevierUniversidad Complutense de Madrid20222022-03-1820222022-03-18journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/116191reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1161912026-06-02T12:44:21Z
dc.title.none.fl_str_mv Dynamic risk assessment for CBM-based adaptation of maintenance planning
title Dynamic risk assessment for CBM-based adaptation of maintenance planning
spellingShingle Dynamic risk assessment for CBM-based adaptation of maintenance planning
Martínez-Galán Fernández, Pablo
DRA
CBM
Maintenance decision making
Maintenance planning
Risk-based maintenance
Risk levels
Ciencias Sociales
5311 Organización y Dirección de Empresas
title_short Dynamic risk assessment for CBM-based adaptation of maintenance planning
title_full Dynamic risk assessment for CBM-based adaptation of maintenance planning
title_fullStr Dynamic risk assessment for CBM-based adaptation of maintenance planning
title_full_unstemmed Dynamic risk assessment for CBM-based adaptation of maintenance planning
title_sort Dynamic risk assessment for CBM-based adaptation of maintenance planning
dc.creator.none.fl_str_mv Martínez-Galán Fernández, Pablo
Guillén López, Antonio Jesús
Crespo Márquez, Adolfo
Gómez Fernández, Juan Fco.
Marcos Alberca, Jose Antonio
author Martínez-Galán Fernández, Pablo
author_facet Martínez-Galán Fernández, Pablo
Guillén López, Antonio Jesús
Crespo Márquez, Adolfo
Gómez Fernández, Juan Fco.
Marcos Alberca, Jose Antonio
author_role author
author2 Guillén López, Antonio Jesús
Crespo Márquez, Adolfo
Gómez Fernández, Juan Fco.
Marcos Alberca, Jose Antonio
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv DRA
CBM
Maintenance decision making
Maintenance planning
Risk-based maintenance
Risk levels
Ciencias Sociales
5311 Organización y Dirección de Empresas
topic DRA
CBM
Maintenance decision making
Maintenance planning
Risk-based maintenance
Risk levels
Ciencias Sociales
5311 Organización y Dirección de Empresas
description This paper proposes a practical method for dynamic maintenance planning based on Dynamic Risk Assessment (DRA). This is founded on the interpretation, in terms of risk levels evolution, the available information of monitoring events and maintenance activities integrated in and that conform the condition-based maintenance (CBM) processes. DRA proposal is supported by ISO 31000 risk management framework in order to better understanding and results integration within other risk management approaches. Proposed method analyzes CBM results (monitoring events and maintenance activities) regarding their impact on failure risk level, and how to program and manage maintenance decision making (maintenance planning) regarding with dynamic risk evolution. This strategy not only helps maintenance management optimization but also facilitates the link of intelligent maintenance with global risk management within the organization, which is lined with modern Asset Management principles. To illustrate the method, an example of a real use case is presented where it is applied to the dynamic maintenance planning of a critical component in a high-speed train, and which integrates monitoring, predictive analytics and inspection data
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-03-18
2022
2022-03-18
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/116191
url https://hdl.handle.net/20.500.14352/116191
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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