Optimization in manufacturing through experimentation and logistic regression models

In this article, three optimization schemes are proposed for a response of sample non-conforming fraction type in a manufacturing process. The design of experiments is a statistical technique that is applied to improve the quality of the final product. The use of logistic regression models is recomm...

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1. Verfasser: Mares Castro, Armando (author)
Format: article
Sprache:Spanisch
Veröffentlicht: 2020
Online-Zugang:https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2839
https://ridda2.utp.ac.pa/handle/123456789/11822
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author Mares Castro, Armando
author_browse Mares Castro, Armando
author_facet Mares Castro, Armando
author_role author
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
dc.creator.none.fl_str_mv Mares Castro, Armando
dc.date.none.fl_str_mv 2020-07-31
2021-04-18T13:24:27Z
2021-04-18T15:16:56Z
2021-04-18T13:24:27Z
2021-04-18T15:16:56Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2839
10.33412/idt.v16.2.2839
https://ridda2.utp.ac.pa/handle/123456789/11822
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv Universidad Tecnológica de Panamá
dc.relation.none.fl_str_mv https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2839/3512
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv 2219-6714
1680-8894
I+D Tecnológico; Vol. 16 Núm. 2 (2020): Revista de I+D Tecnológico
reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
dc.title.none.fl_str_mv Optimization in manufacturing through experimentation and logistic regression models
Optimización en manufactura mediante la experimentación y modelos de regresión logística
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description In this article, three optimization schemes are proposed for a response of sample non-conforming fraction type in a manufacturing process. The design of experiments is a statistical technique that is applied to improve the quality of the final product. The use of logistic regression models is recommended when analyzing the sample non-conforming fraction as a quality parameter. From the results of the experiment a mathematical model is constructed in order to optimize the process parameters. The proposed methodology was applied to the vulcanization process in the manufacture of rubber soles. A comparative analysis of three optimization methodologies is performed to evaluate the best result. The levels obtained in two procedures were the same and in the third one a less efficient solution was verified. The best solution was applied to the process with a significant improvement in the level of product quality.
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publishDate 2020
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publisher.none.fl_str_mv Universidad Tecnológica de Panamá
reponame_str Repositorio Institucional de documento digitales de acceso abierto de la UTP
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spelling Optimization in manufacturing through experimentation and logistic regression modelsOptimización en manufactura mediante la experimentación y modelos de regresión logísticaMares Castro, ArmandoIn this article, three optimization schemes are proposed for a response of sample non-conforming fraction type in a manufacturing process. The design of experiments is a statistical technique that is applied to improve the quality of the final product. The use of logistic regression models is recommended when analyzing the sample non-conforming fraction as a quality parameter. From the results of the experiment a mathematical model is constructed in order to optimize the process parameters. The proposed methodology was applied to the vulcanization process in the manufacture of rubber soles. A comparative analysis of three optimization methodologies is performed to evaluate the best result. The levels obtained in two procedures were the same and in the third one a less efficient solution was verified. The best solution was applied to the process with a significant improvement in the level of product quality.En éste artículo se proponen tres esquemas de optimización para una respuesta de tipo fracción disconforme muestral en un proceso de manufactura. El diseño de experimentos es una técnica estadística que se aplica para mejorar la calidad del producto final. El uso de modelos de regresión logística se recomienda cuando se analiza la fracción disconforme muestral como parámetro de la calidad. A partir de los resultados del experimento se construye un modelo matemático con el fin de optimizar los parámetros del proceso. La metodología propuesta fue aplicada al proceso de vulcanización en la fabricación de suelas de hule. Se realiza un análisis comparativo de tres metodologías de optimización para evaluar el mejor resultado. Los niveles obtenidos en dos procedimientos fueron iguales y en el tercero se verificó una solución menos eficiente. La mejor solución se aplicó al proceso con una significativa mejora en el nivel de calidad del producto.Universidad Tecnológica de Panamá2020-07-312021-04-18T13:24:27Z2021-04-18T15:16:56Z2021-04-18T13:24:27Z2021-04-18T15:16:56Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/283910.33412/idt.v16.2.2839https://ridda2.utp.ac.pa/handle/123456789/118222219-67141680-8894I+D Tecnológico; Vol. 16 Núm. 2 (2020): Revista de I+D Tecnológicoreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáspahttps://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2839/3512http://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ridda2.utp.ac.pa:123456789/118222021-04-18T15:16:56Z
spellingShingle Optimization in manufacturing through experimentation and logistic regression models
Mares Castro, Armando
status_str publishedVersion
title Optimization in manufacturing through experimentation and logistic regression models
title_full Optimization in manufacturing through experimentation and logistic regression models
title_fullStr Optimization in manufacturing through experimentation and logistic regression models
title_full_unstemmed Optimization in manufacturing through experimentation and logistic regression models
title_short Optimization in manufacturing through experimentation and logistic regression models
title_sort Optimization in manufacturing through experimentation and logistic regression models
url https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2839
https://ridda2.utp.ac.pa/handle/123456789/11822