Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production line

This article is the product of research developed in a production line, where we wanted to observe how the Design of Experiments (DOE) and the Kanban interact fully with the Discrete Simulation in order to improve the performance of the production system. The above was achieved by showing how the DO...

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Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Católica de Pereira
Repositorio:
Repositorio Institucional - RIBUC
Idioma:
spa
OAI Identifier:
oai:repositorio.ucp.edu.co:10785/13645
Acceso en línea:
https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1147
http://hdl.handle.net/10785/13645
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Derechos de autor 2020 Entre Ciencia e Ingeniería
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oai_identifier_str oai:repositorio.ucp.edu.co:10785/13645
network_acronym_str RepoRIBUC2
network_name_str Repositorio Institucional - RIBUC
repository_id_str
dc.title.eng.fl_str_mv Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production line
dc.title.spa.fl_str_mv Uso integral de simulación, diseño de experimentos y KANBAN para evaluar y mejorar el rendimiento de una línea de producción
title Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production line
spellingShingle Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production line
title_short Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production line
title_full Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production line
title_fullStr Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production line
title_full_unstemmed Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production line
title_sort Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production line
description This article is the product of research developed in a production line, where we wanted to observe how the Design of Experiments (DOE) and the Kanban interact fully with the Discrete Simulation in order to improve the performance of the production system. The above was achieved by showing how the DOE serves to identify the relevant factors in the production process, to then be incorporated as input parameters in the simulation, and also, through the implementation of the Kanban tool type "Trigger" the performance improvements presented in such production line were evidenced. Based on the above, two simulations were made: One without the use of the Lean tool and another with its implementation. In this way, the improvement in the performance of the production line could be observed when incorporating the Kanban. For example, the "Ironing" process, which had a utilization rate of 36%, increased to 60.39% with the use of Kanban, the same thing happened to the "Weaving" process, which increased its use to 61.77%. In this way, a way to improve the performance of a production line supported in the combination of these three tools is illustrated.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019-12-30
dc.date.accessioned.none.fl_str_mv 2023-08-29T03:49:33Z
dc.date.available.none.fl_str_mv 2023-08-29T03:49:33Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1147
10.31908/19098367.1147
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10785/13645
url https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1147
http://hdl.handle.net/10785/13645
identifier_str_mv 10.31908/19098367.1147
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1147/1179
https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1147/2544
dc.rights.spa.fl_str_mv Derechos de autor 2020 Entre Ciencia e Ingeniería
https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Derechos de autor 2020 Entre Ciencia e Ingeniería
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/xml
dc.publisher.spa.fl_str_mv Universidad Católica de Pereira
dc.source.eng.fl_str_mv Entre ciencia e ingeniería; Vol. 13 Núm. 26 (2019); 9-16
dc.source.spa.fl_str_mv Entre Ciencia e Ingeniería; Vol. 13 Núm. 26 (2019); 9-16
dc.source.por.fl_str_mv Entre ciencia e ingeniería; Vol. 13 Núm. 26 (2019); 9-16
dc.source.none.fl_str_mv 2539-4169
1909-8367
institution Universidad Católica de Pereira
repository.name.fl_str_mv Repositorio Institucional de la Universidad Católica de Pereira - RIBUC
repository.mail.fl_str_mv bdigital@metabiblioteca.com
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spelling 2023-08-29T03:49:33Z2023-08-29T03:49:33Z2019-12-30https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/114710.31908/19098367.1147http://hdl.handle.net/10785/13645This article is the product of research developed in a production line, where we wanted to observe how the Design of Experiments (DOE) and the Kanban interact fully with the Discrete Simulation in order to improve the performance of the production system. The above was achieved by showing how the DOE serves to identify the relevant factors in the production process, to then be incorporated as input parameters in the simulation, and also, through the implementation of the Kanban tool type "Trigger" the performance improvements presented in such production line were evidenced. Based on the above, two simulations were made: One without the use of the Lean tool and another with its implementation. In this way, the improvement in the performance of the production line could be observed when incorporating the Kanban. For example, the "Ironing" process, which had a utilization rate of 36%, increased to 60.39% with the use of Kanban, the same thing happened to the "Weaving" process, which increased its use to 61.77%. In this way, a way to improve the performance of a production line supported in the combination of these three tools is illustrated.Este artículo es el producto de una investigación desarrollada en una línea de producción, donde se quería observar como el Diseño de Experimentos (DOE) y el KANBAN interactúan integralmente con la Simulación Discreta en pro de mejorar el rendimiento del sistema productivo. Lo anterior, se logró mostrando la forma en que el DOE sirve para identificar los factores relevantes en el proceso productivo, para luego, ser incorporados como parámetros de entrada en la simulación e igualmente, a través de la implementación de la herramienta KANBAN tipo “Trigger” se evidenció las mejoras de desempeño que se presentan en dicha línea de producción. Con base a lo anterior, se realizaron dos simulaciones: Una sin el uso de la herramienta Lean y otra con su implementación. De esta manera, se pudo observar el mejoramiento en el desempeño de la línea de producción al incorporar el KANBAN. Por ejemplo, el proceso de “Planchado” que tenía un porcentaje de utilización del 36%, aumentó a 60,39% con el uso del Kanban, lo mismo le ocurrió al proceso de “Tejido” que aumentó su utilización hasta un 61,77%. De esta manera, se deja ilustrada una forma de cómo mejorar el rendimiento de una línea de producción soportado en la combinación de estas tres herramientas.application/pdfapplication/xmlspaUniversidad Católica de Pereirahttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1147/1179https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1147/2544Derechos de autor 2020 Entre Ciencia e Ingenieríahttps://creativecommons.org/licenses/by-nc/4.0/deed.es_EShttps://creativecommons.org/licenses/by-nc/4.0/deed.es_ESinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Entre ciencia e ingeniería; Vol. 13 Núm. 26 (2019); 9-16Entre Ciencia e Ingeniería; Vol. 13 Núm. 26 (2019); 9-16Entre ciencia e ingeniería; Vol. 13 Núm. 26 (2019); 9-162539-41691909-8367Integral use of simulation, design of experiments and KANBAN to evaluate and improve the performance of a production lineUso integral de simulación, diseño de experimentos y KANBAN para evaluar y mejorar el rendimiento de una línea de producciónArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionFernández Henao, Sergio AugustoPérez Rendon, Angela LicethMedina Varela, Pedro DanielPublication10785/13645oai:repositorio.ucp.edu.co:10785/136452025-01-27 18:58:11.036https://creativecommons.org/licenses/by-nc/4.0/deed.es_ESDerechos de autor 2020 Entre Ciencia e Ingenieríametadata.onlyhttps://repositorio.ucp.edu.coRepositorio Institucional de la Universidad Católica de Pereira - RIBUCbdigital@metabiblioteca.com