Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm
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: | 2021 |
Institución: | Universidad Peruana de Ciencias Aplicadas |
Repositorio: | UPC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/656017 |
Enlace del recurso: | http://hdl.handle.net/10757/656017 |
Nivel de acceso: | acceso embargado |
Materia: | 5S Industrial chemical sector Productivity TPM |
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oai:repositorioacademico.upc.edu.pe:10757/656017 |
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UPC-Institucional |
repository_id_str |
2670 |
dc.title.en_US.fl_str_mv |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
spellingShingle |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm Chancahuana-Palomino, Leonardo 5S Industrial chemical sector Productivity TPM |
title_short |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title_full |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title_fullStr |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title_full_unstemmed |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title_sort |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
author |
Chancahuana-Palomino, Leonardo |
author_facet |
Chancahuana-Palomino, Leonardo Ortiz-Licas, Alondra Altamirano-Flores, Ernesto Aderhold, Daniel |
author_role |
author |
author2 |
Ortiz-Licas, Alondra Altamirano-Flores, Ernesto Aderhold, Daniel |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Chancahuana-Palomino, Leonardo Ortiz-Licas, Alondra Altamirano-Flores, Ernesto Aderhold, Daniel |
dc.subject.en_US.fl_str_mv |
5S Industrial chemical sector Productivity TPM |
topic |
5S Industrial chemical sector Productivity 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 |
2021 |
dc.date.accessioned.none.fl_str_mv |
2021-05-17T21:14:36Z |
dc.date.available.none.fl_str_mv |
2021-05-17T21:14:36Z |
dc.date.issued.fl_str_mv |
2021-01-01 |
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 |
10.1007/978-3-030-55307-4_75 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10757/656017 |
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-s2.0-85089628360 |
dc.identifier.scopusid.none.fl_str_mv |
SCOPUS_ID:85089628360 |
dc.identifier.isni.none.fl_str_mv |
0000 0001 2196 144X |
identifier_str_mv |
21945357 10.1007/978-3-030-55307-4_75 21945365 Advances in Intelligent Systems and Computing 2-s2.0-85089628360 SCOPUS_ID:85089628360 0000 0001 2196 144X |
url |
http://hdl.handle.net/10757/656017 |
dc.language.iso.en_US.fl_str_mv |
eng |
language |
eng |
dc.relation.url.en_US.fl_str_mv |
https://link.springer.com/chapter/10.1007/978-3-030-55307-4_75 |
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 |
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 |
1253 AISC |
dc.source.beginpage.none.fl_str_mv |
493 |
dc.source.endpage.none.fl_str_mv |
498 |
bitstream.url.fl_str_mv |
https://repositorioacademico.upc.edu.pe/bitstream/10757/656017/1/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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1837188353123942400 |
spelling |
0a6a9690ee69577adaebb902b0c24ac6300b1125e32dd4a843c8043b6849933ed80300c105bdbebe4ac6dccf40ff31d8c5dda9d798007859f7b00925e1c5c5842c2167500Chancahuana-Palomino, LeonardoOrtiz-Licas, AlondraAltamirano-Flores, ErnestoAderhold, Daniel2021-05-17T21:14:36Z2021-05-17T21:14:36Z2021-01-012194535710.1007/978-3-030-55307-4_75http://hdl.handle.net/10757/65601721945365Advances in Intelligent Systems and Computing2-s2.0-85089628360SCOPUS_ID:850896283600000 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.The industrial chemical sector has grown during the last years in the Peruvian market, becoming highly competitive since it represents the second main activity in the manufacturing industry. However, companies belonging to the sector have experienced a decrease in productivity, since it has a lower production rate than other economic sectors. This paper presents a model for increasing the productivity of companies in the sector. For this, the 5S and TPM techniques will be used sequentially. First, 5S techniques are applied to reorder the working area and to create a clean and safe environment for operating personnel. Then, the TPM technique is used to focus on reducing the deficiencies that machines present through preventive maintenance and raise awareness and involve operational personnel in the daily activities of autonomous maintenance. For validation of the model, a simulation with the software Arena is performed. Results show an increase of about 15% in productivity, the cycle time reduces by 14%, the OEE will increase by 24% and daily production by 15% in the paint line.application/htmlengSpringerhttps://link.springer.com/chapter/10.1007/978-3-030-55307-4_75info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCAdvances in Intelligent Systems and Computing1253 AISC493498reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPC5SIndustrial chemical sectorProductivityTPMProduction process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpminfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656017/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656017oai:repositorioacademico.upc.edu.pe:10757/6560172021-05-18 12:45:05.409Repositorio académico upcupc@openrepository.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 |
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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).