Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems

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: Barzola-Cisneros, Víctor, Calderon-Tirado, Jose, Viacava-Campos, Gino, Aderhold, Daniel
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656024
Enlace del recurso:http://hdl.handle.net/10757/656024
Nivel de acceso:acceso embargado
Materia:MSMEs
Product delivery time
Production planning
Slender manufacturing
Supplier management
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network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.en_US.fl_str_mv Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems
title Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems
spellingShingle Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems
Barzola-Cisneros, Víctor
MSMEs
Product delivery time
Production planning
Slender manufacturing
Supplier management
title_short Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems
title_full Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems
title_fullStr Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems
title_full_unstemmed Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems
title_sort Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems
author Barzola-Cisneros, Víctor
author_facet Barzola-Cisneros, Víctor
Calderon-Tirado, Jose
Viacava-Campos, Gino
Aderhold, Daniel
author_role author
author2 Calderon-Tirado, Jose
Viacava-Campos, Gino
Aderhold, Daniel
author2_role author
author
author
dc.contributor.author.fl_str_mv Barzola-Cisneros, Víctor
Calderon-Tirado, Jose
Viacava-Campos, Gino
Aderhold, Daniel
dc.subject.en_US.fl_str_mv MSMEs
Product delivery time
Production planning
Slender manufacturing
Supplier management
topic MSMEs
Product delivery time
Production planning
Slender manufacturing
Supplier management
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 2021-05-18T11:45:08Z
dc.date.available.none.fl_str_mv 2021-05-18T11:45:08Z
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_91
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656024
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-s2.0-85089626447
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85089626447
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 21945357
10.1007/978-3-030-55307-4_91
21945365
Advances in Intelligent Systems and Computing
2-s2.0-85089626447
SCOPUS_ID:85089626447
0000 0001 2196 144X
url http://hdl.handle.net/10757/656024
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_91
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 599
dc.source.endpage.none.fl_str_mv 605
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656024/1/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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spelling 6b8d0251e1d4a3ca58b2b533cc4906f319002652ca8a0d4590a6283a5619ab1b3008a114454bd5c59de2bf60cef95715612d798007859f7b00925e1c5c5842c2167500Barzola-Cisneros, VíctorCalderon-Tirado, JoseViacava-Campos, GinoAderhold, Daniel2021-05-18T11:45:08Z2021-05-18T11:45:08Z2021-01-012194535710.1007/978-3-030-55307-4_91http://hdl.handle.net/10757/65602421945365Advances in Intelligent Systems and Computing2-s2.0-85089626447SCOPUS_ID:850896264470000 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 Peruvian textile industry is a highly competitive market and is one of the main economic engines of the country. The sector provides more than 463 thousand jobs and represents 7.4% of the GDP. Most of the companies, mostly family businesses, do not have enough knowledge to implement a management model according to productivity standards and expected level of service. This article proposes a production model for the clothing industry based on Lean management, combining SIPOC, VSM, 5S techniques and a production system to increase profitability in the short term and make it sustainable in time. The model is validated by a case study in a representative company of the sector. The proposed activities were monitored through the study of work indicators, in which the results indicate an increase in productivity by 59% and the fulfillment by 48%.application/htmlengSpringerhttps://link.springer.com/chapter/10.1007/978-3-030-55307-4_91info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCAdvances in Intelligent Systems and Computing1253 AISC599605reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCMSMEsProduct delivery timeProduction planningSlender manufacturingSupplier managementProduction model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systemsinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656024/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656024oai:repositorioacademico.upc.edu.pe:10757/6560242021-05-18 11:50:41.773Repositorio académico upcupc@openrepository.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Production model to increase productivity and delivery compliance in the peruvian textile sector by applying value stream mapping, 5s and flexible production systems
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