Application of the Manova multivariate technique to two control variables from three simulation models of a productive process
In this article, the improvement of the manufacturing process of a construction brick producing company in the city of Santa Marta was studied. By simulation, the current process has been modeled and improvement alternatives have been established. The performance of these simulated processes has bee...
- Autores:
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad Católica de Pereira
- Repositorio:
- Repositorio Institucional - RIBUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.ucp.edu.co:10785/13686
- Acceso en línea:
- https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2056
http://hdl.handle.net/10785/13686
- Palabra clave:
- Rights
- openAccess
- License
- Derechos de autor 2021 Entre Ciencia e Ingeniería
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2023-08-29T03:49:39Z2023-08-29T03:49:39Z2020-12-31https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/205610.31908/19098367.2056http://hdl.handle.net/10785/13686In this article, the improvement of the manufacturing process of a construction brick producing company in the city of Santa Marta was studied. By simulation, the current process has been modeled and improvement alternatives have been established. The performance of these simulated processes has been assessed using the variables cost per lot (in Colombian pesos) and the time in the System (in hours), both programmed in the simulated models and which were established as control variables. These variables are the components of a bivariate vector whose values were obtained from samples derived from replicating each of the models, which were then analyzed using a technique derived from multivariate statistics called Manova. The multivariate hypothesis test shows that one of the models presents better performance. Based on the results, it is concluded that the company should adopt the improvement found in the simulation.En este artículo fue estudiado el mejoramiento del proceso de fabricación de una empresa productora de ladrillos para construcción en la ciudad de Santa Marta. Mediante simulación se ha modelado el proceso actual y se establecieron alternativas de mejoramiento. El desempeño de estos procesos simulados se ha valorado mediante las variables “Costo por lote” (en pesos colombianos) y el “Tiempo en el sistema” (en horas), ambas programadas en los modelos simulados, las cuales se establecieron como variables de control. Estas variables son las componentes de un vector bivariado cuyos valores fueron obtenidos de muestras provenientes de replicar cada uno de los modelos que luego fueron analizados mediante la utilización de una técnica proveniente de la estadística multivariada denominada Manova. La prueba de hipótesis multivariada muestra que uno de los modelos presenta mejor desempeño. Basado en los resultados, se concluye que la empresa debería adoptar el mejoramiento encontrado en la simulación.application/pdfspaUniversidad Católica de Pereirahttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2056/1910Derechos de autor 2021 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 14 No 28 (2020); 66-75Entre Ciencia e Ingeniería; Vol. 14 Núm. 28 (2020); 66-75Entre ciencia e ingeniería; v. 14 n. 28 (2020); 66-752539-41691909-8367Application of the Manova multivariate technique to two control variables from three simulation models of a productive processAplicación de la técnica multivariada Manova a dos variables de control provenientes de tres modelos de simulación estocásticos de un proceso productivoArtículo 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/publishedVersionVargas Sánchez, Jhon JairoMuñoz Mercado, José JorgePaba Luna, Nayeth AlejandraOrdoñez Castro, NicolásPublication10785/13686oai:repositorio.ucp.edu.co:10785/136862025-01-27 18:59:06.244https://creativecommons.org/licenses/by-nc/4.0/deed.es_ESDerechos de autor 2021 Entre Ciencia e Ingenieríametadata.onlyhttps://repositorio.ucp.edu.coRepositorio Institucional de la Universidad Católica de Pereira - RIBUCbdigital@metabiblioteca.com |
| dc.title.eng.fl_str_mv |
Application of the Manova multivariate technique to two control variables from three simulation models of a productive process |
| dc.title.spa.fl_str_mv |
Aplicación de la técnica multivariada Manova a dos variables de control provenientes de tres modelos de simulación estocásticos de un proceso productivo |
| title |
Application of the Manova multivariate technique to two control variables from three simulation models of a productive process |
| spellingShingle |
Application of the Manova multivariate technique to two control variables from three simulation models of a productive process |
| title_short |
Application of the Manova multivariate technique to two control variables from three simulation models of a productive process |
| title_full |
Application of the Manova multivariate technique to two control variables from three simulation models of a productive process |
| title_fullStr |
Application of the Manova multivariate technique to two control variables from three simulation models of a productive process |
| title_full_unstemmed |
Application of the Manova multivariate technique to two control variables from three simulation models of a productive process |
| title_sort |
Application of the Manova multivariate technique to two control variables from three simulation models of a productive process |
| description |
In this article, the improvement of the manufacturing process of a construction brick producing company in the city of Santa Marta was studied. By simulation, the current process has been modeled and improvement alternatives have been established. The performance of these simulated processes has been assessed using the variables cost per lot (in Colombian pesos) and the time in the System (in hours), both programmed in the simulated models and which were established as control variables. These variables are the components of a bivariate vector whose values were obtained from samples derived from replicating each of the models, which were then analyzed using a technique derived from multivariate statistics called Manova. The multivariate hypothesis test shows that one of the models presents better performance. Based on the results, it is concluded that the company should adopt the improvement found in the simulation. |
| publishDate |
2020 |
| dc.date.issued.none.fl_str_mv |
2020-12-31 |
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2023-08-29T03:49:39Z |
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2023-08-29T03:49:39Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2056 10.31908/19098367.2056 |
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http://hdl.handle.net/10785/13686 |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2056 http://hdl.handle.net/10785/13686 |
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10.31908/19098367.2056 |
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spa |
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spa |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2056/1910 |
| dc.rights.spa.fl_str_mv |
Derechos de autor 2021 Entre Ciencia e Ingeniería https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES |
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https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES |
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info:eu-repo/semantics/openAccess |
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Derechos de autor 2021 Entre Ciencia e Ingeniería https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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application/pdf |
| dc.publisher.spa.fl_str_mv |
Universidad Católica de Pereira |
| dc.source.eng.fl_str_mv |
Entre ciencia e ingeniería; Vol 14 No 28 (2020); 66-75 |
| dc.source.spa.fl_str_mv |
Entre Ciencia e Ingeniería; Vol. 14 Núm. 28 (2020); 66-75 |
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Entre ciencia e ingeniería; v. 14 n. 28 (2020); 66-75 |
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2539-4169 1909-8367 |
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Universidad Católica de Pereira |
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Repositorio Institucional de la Universidad Católica de Pereira - RIBUC |
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bdigital@metabiblioteca.com |
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1831929522672369664 |