Integral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing company

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Moscoso, Carlos, Fernandez, Alex, Viacava, Gino, Raymundo, Carlos
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656092
Enlace del recurso:http://hdl.handle.net/10757/656092
Nivel de acceso:acceso embargado
Materia:Maintenance
RCM
TPM
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dc.title.en_US.fl_str_mv Integral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing company
title Integral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing company
spellingShingle Integral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing company
Moscoso, Carlos
Maintenance
RCM
TPM
title_short Integral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing company
title_full Integral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing company
title_fullStr Integral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing company
title_full_unstemmed Integral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing company
title_sort Integral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing company
author Moscoso, Carlos
author_facet Moscoso, Carlos
Fernandez, Alex
Viacava, Gino
Raymundo, Carlos
author_role author
author2 Fernandez, Alex
Viacava, Gino
Raymundo, Carlos
author2_role author
author
author
dc.contributor.author.fl_str_mv Moscoso, Carlos
Fernandez, Alex
Viacava, Gino
Raymundo, Carlos
dc.subject.en_US.fl_str_mv Maintenance
RCM
TPM
topic Maintenance
RCM
TPM
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2021-05-20T12:50:18Z
dc.date.available.none.fl_str_mv 2021-05-20T12:50:18Z
dc.date.issued.fl_str_mv 2020-01-01
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 21945357
dc.identifier.doi.none.fl_str_mv 10.1007/978-3-030-25629-6_137
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656092
dc.identifier.eissn.none.fl_str_mv 21945365
dc.identifier.journal.en_US.fl_str_mv Advances in Intelligent Systems and Computing
dc.identifier.eid.none.fl_str_mv 2-s2.0-85069981201
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85069981201
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 21945357
10.1007/978-3-030-25629-6_137
21945365
Advances in Intelligent Systems and Computing
2-s2.0-85069981201
SCOPUS_ID:85069981201
0000 0001 2196 144X
url http://hdl.handle.net/10757/656092
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://link.springer.com/chapter/10.1007/978-3-030-25629-6_137
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.en_US.fl_str_mv application/html
dc.publisher.en_US.fl_str_mv Springer Verlag
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Advances in Intelligent Systems and Computing
dc.source.volume.none.fl_str_mv 1018
dc.source.beginpage.none.fl_str_mv 878
dc.source.endpage.none.fl_str_mv 884
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656092/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio académico upc
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spelling 81f63624c39c4b6fd08573a9a059a4a35f3bad318260e1c4c6fffe7111de94b69fa11dc6cf64806e3063a7c4928064cef1b29165990ab4ce165cbf28f5e4ccd9500Moscoso, CarlosFernandez, AlexViacava, GinoRaymundo, Carlos2021-05-20T12:50:18Z2021-05-20T12:50:18Z2020-01-012194535710.1007/978-3-030-25629-6_137http://hdl.handle.net/10757/65609221945365Advances in Intelligent Systems and Computing2-s2.0-85069981201SCOPUS_ID:850699812010000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.One of the main problems existing in manufacturing companies is the high frequency of machine breakdowns and their high repair time. Therefore, over time, various maintenance strategies seeking to more efficiently manage the scheduled jobs have been presented. However, these are not always as effective as expected, because they are not properly applied, the resources are not available, or the strategy is not aimed at directly solving the problem. Based on the aforementioned, this paper proposes an integral model of maintenance management based on the principles of total productive maintenance and reliability-centered maintenance methodologies in order to increase machine availability in a company in the manufacturing sector. To validate this proposal, a pilot project will be developed to measure the impact that is being sought.application/htmlengSpringer Verlaghttps://link.springer.com/chapter/10.1007/978-3-030-25629-6_137info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCAdvances in Intelligent Systems and Computing1018878884reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCMaintenanceRCMTPMIntegral model of maintenance management based on TPM and RCM principles to increase machine availability in a manufacturing companyinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656092/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656092oai:repositorioacademico.upc.edu.pe:10757/6560922021-05-20 12:50:19.744Repositorio académico upcupc@openrepository.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