Increase of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologies

Descripción del Articulo

The food industry stands as a pivotal contributor to economic and efficient production in contemporary societies. In recent years, Peru has witnessed a notable upswing in the industrial food sector, characterized by the automation of production processes and the consequential shift from manual labor...

Descripción completa

Detalles Bibliográficos
Autores: Castañeda, Sair, Rodriguez, Sharon, Yildiz, Orkun, Aranda, Duilio, Alvarez, José C.
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/675896
Enlace del recurso:http://hdl.handle.net/10757/675896
Nivel de acceso:acceso embargado
Materia:Efficiency
Food industry
Machinery availability
SMED
TPM
id UUPC_709731b54ef229688efb60ae5acb0f57
oai_identifier_str oai:repositorioacademico.upc.edu.pe:10757/675896
network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.es_PE.fl_str_mv Increase of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologies
title Increase of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologies
spellingShingle Increase of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologies
Castañeda, Sair
Efficiency
Food industry
Machinery availability
SMED
TPM
title_short Increase of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologies
title_full Increase of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologies
title_fullStr Increase of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologies
title_full_unstemmed Increase of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologies
title_sort Increase of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologies
author Castañeda, Sair
author_facet Castañeda, Sair
Rodriguez, Sharon
Yildiz, Orkun
Aranda, Duilio
Alvarez, José C.
author_role author
author2 Rodriguez, Sharon
Yildiz, Orkun
Aranda, Duilio
Alvarez, José C.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Castañeda, Sair
Rodriguez, Sharon
Yildiz, Orkun
Aranda, Duilio
Alvarez, José C.
dc.subject.es_PE.fl_str_mv Efficiency
Food industry
Machinery availability
SMED
TPM
topic Efficiency
Food industry
Machinery availability
SMED
TPM
description The food industry stands as a pivotal contributor to economic and efficient production in contemporary societies. In recent years, Peru has witnessed a notable upswing in the industrial food sector, characterized by the automation of production processes and the consequential shift from manual labor to machinery. Despite these advancements, a pervasive challenge persists – the suboptimal availability of critical machinery due to various failures, leading to operational disruptions and additional costs. This challenge is empirically examined through a case study measuring machinery availability via MTBF and MTTR indicators, revealing suboptimal values according to "World Class" benchmarks, as reflected in the efficiency value measured by the OEE indicator. In response to these findings, a practical and economically viable model adapted to the unique needs of the food sector is proposed. Leveraging fundamental indicators such as MTBF, MTTR, and OEE, deviations from "World Class" standards are identified. The proposed model strategically integrates the second pillar of Total Productive Maintenance (TPM), the Single-Minute Exchange of Die (SMED) methodology, and the third TPM pillar into the Reliability-Centered Maintenance (RCM) tool. This study underscores the inefficiencies stemming from suboptimal machinery availability, highlighted by non-ideal MTBF, MTTR, and OEE values. The proposed model, focusing on TPM and SMED methodologies, demonstrates a tangible enhancement in machinery availability, translating into heightened productivity and reduced operational costs. The proposed improvements, once implemented, are anticipated to deliver enduring benefits, aiming for a sustained positive impact on productivity and cost-efficiency within the food industry.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-09-28T05:03:56Z
dc.date.available.none.fl_str_mv 2024-09-28T05:03:56Z
dc.date.issued.fl_str_mv 2024-08-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 23490918
dc.identifier.doi.none.fl_str_mv 10.14445/22315381/IJETT-V72I8P114
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/675896
dc.identifier.eissn.none.fl_str_mv 22315381
dc.identifier.journal.es_PE.fl_str_mv International Journal of Engineering Trends and Technology
dc.identifier.eid.none.fl_str_mv 2-s2.0-85202539446
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85202539446
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 23490918
10.14445/22315381/IJETT-V72I8P114
22315381
International Journal of Engineering Trends and Technology
2-s2.0-85202539446
SCOPUS_ID:85202539446
0000 0001 2196 144X
url http://hdl.handle.net/10757/675896
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.es_PE.fl_str_mv application/html
dc.publisher.es_PE.fl_str_mv Seventh Sense Research Group
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 International Journal of Engineering Trends and Technology
dc.source.volume.none.fl_str_mv 72
dc.source.issue.none.fl_str_mv 8
dc.source.beginpage.none.fl_str_mv 128
dc.source.endpage.none.fl_str_mv 138
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/675896/1/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
_version_ 1846066051228368896
spelling a2e359ae76a0dcacd219e7f8164820ea300a4be9565cbca1eebd55cdd7d0d0bd037300a6345e1508e500fa5816d38599e25290500f3bac37862284c8aef8819033781a73cac5f799cf4fbcbb214bb3c18a3e3d899500Castañeda, SairRodriguez, SharonYildiz, OrkunAranda, DuilioAlvarez, José C.2024-09-28T05:03:56Z2024-09-28T05:03:56Z2024-08-012349091810.14445/22315381/IJETT-V72I8P114http://hdl.handle.net/10757/67589622315381International Journal of Engineering Trends and Technology2-s2.0-85202539446SCOPUS_ID:852025394460000 0001 2196 144XThe food industry stands as a pivotal contributor to economic and efficient production in contemporary societies. In recent years, Peru has witnessed a notable upswing in the industrial food sector, characterized by the automation of production processes and the consequential shift from manual labor to machinery. Despite these advancements, a pervasive challenge persists – the suboptimal availability of critical machinery due to various failures, leading to operational disruptions and additional costs. This challenge is empirically examined through a case study measuring machinery availability via MTBF and MTTR indicators, revealing suboptimal values according to "World Class" benchmarks, as reflected in the efficiency value measured by the OEE indicator. In response to these findings, a practical and economically viable model adapted to the unique needs of the food sector is proposed. Leveraging fundamental indicators such as MTBF, MTTR, and OEE, deviations from "World Class" standards are identified. The proposed model strategically integrates the second pillar of Total Productive Maintenance (TPM), the Single-Minute Exchange of Die (SMED) methodology, and the third TPM pillar into the Reliability-Centered Maintenance (RCM) tool. This study underscores the inefficiencies stemming from suboptimal machinery availability, highlighted by non-ideal MTBF, MTTR, and OEE values. The proposed model, focusing on TPM and SMED methodologies, demonstrates a tangible enhancement in machinery availability, translating into heightened productivity and reduced operational costs. The proposed improvements, once implemented, are anticipated to deliver enduring benefits, aiming for a sustained positive impact on productivity and cost-efficiency within the food industry.application/htmlengSeventh Sense Research Groupinfo:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCInternational Journal of Engineering Trends and Technology728128138reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCEfficiencyFood industryMachinery availabilitySMEDTPMIncrease of the Availability of Machinery in a Food Company Applying the TPM, SMED and RCM Methodologiesinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/675896/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/675896oai:repositorioacademico.upc.edu.pe:10757/6758962024-09-28 05:03:58.044Repositorio académico upcupc@openrepository.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
score 13.932913
Nota importante:
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).