APPLICATION OF LEAN MANUFACTURING TO IMPROVE PROCESSES AND INCREASE PRODUCTIVITY IN THE TEXTILE INDUSTRY OF PERU: CASE STUDY

Descripción del Articulo

This study aims to improve the fabric-cutting process of cotton garment-exporting micro and small businesses by identifying and eliminating waste, defined as the processes that do not add value in cutting area of a textile company. In addition, the lean manufacturing approach is applied by employing...

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Detalles Bibliográficos
Autores: Alanya, B. S., Dextre, K. E., Nuñez, V. H., Marcelo, G. E., Alvarez, J. C., Hatakeyama, K.
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/675916
Enlace del recurso:http://hdl.handle.net/10757/675916
Nivel de acceso:acceso abierto
Materia:Smart manufacturing
Textile industry
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dc.title.es_PE.fl_str_mv APPLICATION OF LEAN MANUFACTURING TO IMPROVE PROCESSES AND INCREASE PRODUCTIVITY IN THE TEXTILE INDUSTRY OF PERU: CASE STUDY
title APPLICATION OF LEAN MANUFACTURING TO IMPROVE PROCESSES AND INCREASE PRODUCTIVITY IN THE TEXTILE INDUSTRY OF PERU: CASE STUDY
spellingShingle APPLICATION OF LEAN MANUFACTURING TO IMPROVE PROCESSES AND INCREASE PRODUCTIVITY IN THE TEXTILE INDUSTRY OF PERU: CASE STUDY
Alanya, B. S.
Smart manufacturing
Textile industry
title_short APPLICATION OF LEAN MANUFACTURING TO IMPROVE PROCESSES AND INCREASE PRODUCTIVITY IN THE TEXTILE INDUSTRY OF PERU: CASE STUDY
title_full APPLICATION OF LEAN MANUFACTURING TO IMPROVE PROCESSES AND INCREASE PRODUCTIVITY IN THE TEXTILE INDUSTRY OF PERU: CASE STUDY
title_fullStr APPLICATION OF LEAN MANUFACTURING TO IMPROVE PROCESSES AND INCREASE PRODUCTIVITY IN THE TEXTILE INDUSTRY OF PERU: CASE STUDY
title_full_unstemmed APPLICATION OF LEAN MANUFACTURING TO IMPROVE PROCESSES AND INCREASE PRODUCTIVITY IN THE TEXTILE INDUSTRY OF PERU: CASE STUDY
title_sort APPLICATION OF LEAN MANUFACTURING TO IMPROVE PROCESSES AND INCREASE PRODUCTIVITY IN THE TEXTILE INDUSTRY OF PERU: CASE STUDY
author Alanya, B. S.
author_facet Alanya, B. S.
Dextre, K. E.
Nuñez, V. H.
Marcelo, G. E.
Alvarez, J. C.
Hatakeyama, K.
author_role author
author2 Dextre, K. E.
Nuñez, V. H.
Marcelo, G. E.
Alvarez, J. C.
Hatakeyama, K.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Alanya, B. S.
Dextre, K. E.
Nuñez, V. H.
Marcelo, G. E.
Alvarez, J. C.
Hatakeyama, K.
dc.subject.es_PE.fl_str_mv Smart manufacturing
Textile industry
topic Smart manufacturing
Textile industry
description This study aims to improve the fabric-cutting process of cotton garment-exporting micro and small businesses by identifying and eliminating waste, defined as the processes that do not add value in cutting area of a textile company. In addition, the lean manufacturing approach is applied by employing tools such as value stream mapping (VSM), single-minute exchange of dies (SMED), and work standardisation. The proposed philosophy is based on data analysis, economic validation, and simulation using the historical data from the company under study. Consequently, a decline in default rework and delayed processes along with an increase in the productivity index is expected.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-09-29T19:13:58Z
dc.date.available.none.fl_str_mv 2024-09-29T19:13:58Z
dc.date.issued.fl_str_mv 2024-08-30
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dc.identifier.issn.none.fl_str_mv 1012277X
dc.identifier.doi.none.fl_str_mv 10.7166/35-2-2932
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/675916
dc.identifier.eissn.none.fl_str_mv 22247890
dc.identifier.journal.es_PE.fl_str_mv South African Journal of Industrial Engineering
dc.identifier.eid.none.fl_str_mv 2-s2.0-85203183420
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identifier_str_mv 1012277X
10.7166/35-2-2932
22247890
South African Journal of Industrial Engineering
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url http://hdl.handle.net/10757/675916
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.es_PE.fl_str_mv Southern African Institute for Industrial Engineering
dc.source.none.fl_str_mv reponame:UPC-Institucional
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dc.source.journaltitle.none.fl_str_mv South African Journal of Industrial Engineering
dc.source.volume.none.fl_str_mv 35
dc.source.issue.none.fl_str_mv 2
dc.source.beginpage.none.fl_str_mv 140
dc.source.endpage.none.fl_str_mv 153
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The proposed philosophy is based on data analysis, economic validation, and simulation using the historical data from the company under study. 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