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.
Autores: | , , , |
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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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oai:repositorioacademico.upc.edu.pe:10757/656092 |
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UPC-Institucional |
repository_id_str |
2670 |
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 |
repository.mail.fl_str_mv |
upc@openrepository.com |
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1846065758908448768 |
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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 |
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13.876028 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).