Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company

The inherent need to optimize production processes allows the generation of new knowledge that allows companies to achieve new horizons in terms of efficient management of productive resources, this study allowed to achieve a new advance in the efficiency of the pre-painting process, where the searc...

Full description

Autores:
Parody, Alexander
Viloria Silva, Amelec Jesus
Lis, Jenny Paola
Malagón, Luz Elena
García Cali, Ernesto Rafael
HernándezPalma, Hugo Gaspar
Tipo de recurso:
http://purl.org/coar/resource_type/c_f744
Fecha de publicación:
2018
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/1686
Acceso en línea:
https://hdl.handle.net/11323/1686
https://repositorio.cuc.edu.co/
Palabra clave:
D-optimo experimental design
Optimization
Pre-painted process
Rights
openAccess
License
Atribución – No comercial – Compartir igual
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dc.title.eng.fl_str_mv Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company
title Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company
spellingShingle Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company
D-optimo experimental design
Optimization
Pre-painted process
title_short Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company
title_full Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company
title_fullStr Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company
title_full_unstemmed Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company
title_sort Application of an experimental design of D-optimum mixing based on restrictions for the optimization of the pre-painted steel line of a steel producer and marketing company
dc.creator.fl_str_mv Parody, Alexander
Viloria Silva, Amelec Jesus
Lis, Jenny Paola
Malagón, Luz Elena
García Cali, Ernesto Rafael
HernándezPalma, Hugo Gaspar
dc.contributor.author.spa.fl_str_mv Parody, Alexander
Viloria Silva, Amelec Jesus
Lis, Jenny Paola
Malagón, Luz Elena
García Cali, Ernesto Rafael
HernándezPalma, Hugo Gaspar
dc.subject.eng.fl_str_mv D-optimo experimental design
Optimization
Pre-painted process
topic D-optimo experimental design
Optimization
Pre-painted process
description The inherent need to optimize production processes allows the generation of new knowledge that allows companies to achieve new horizons in terms of efficient management of productive resources, this study allowed to achieve a new advance in the efficiency of the pre-painting process, where the search focused on the maximization of the hardness of the paint on the metallic surface and the minimization of the percentage of solids in the paint, and by means of the application of a D-Optimo experimental design based on restrictions, it was determined that the Process variables: Monomer, Interlacer and Resin have a statistically significant relationship both with the hardness of the paint layer and with the percentage of solids in the paint. The optimum hardness values achieved are above the restriction imposed by the company to maintain the Knoop hardness value above 25, in the same way it was possible to achieve that the percentage of the solids found is below 30%, This being the minimum value desired by the leaders of the process.
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2018-11-21T23:24:03Z
dc.date.available.none.fl_str_mv 2018-11-21T23:24:03Z
dc.date.issued.none.fl_str_mv 2018
dc.type.spa.fl_str_mv Documento de Conferencia
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_f744
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status_str acceptedVersion
dc.identifier.issn.spa.fl_str_mv 03029743
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/1686
dc.identifier.doi.spa.fl_str_mv DOI: 10.1007/978-3-319-93803-5_68
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 03029743
DOI: 10.1007/978-3-319-93803-5_68
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/1686
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.spa.fl_str_mv Atribución – No comercial – Compartir igual
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http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.spa.fl_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
institution Corporación Universidad de la Costa
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spelling Parody, AlexanderViloria Silva, Amelec JesusLis, Jenny PaolaMalagón, Luz ElenaGarcía Cali, Ernesto RafaelHernándezPalma, Hugo Gaspar2018-11-21T23:24:03Z2018-11-21T23:24:03Z201803029743https://hdl.handle.net/11323/1686DOI: 10.1007/978-3-319-93803-5_68Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The inherent need to optimize production processes allows the generation of new knowledge that allows companies to achieve new horizons in terms of efficient management of productive resources, this study allowed to achieve a new advance in the efficiency of the pre-painting process, where the search focused on the maximization of the hardness of the paint on the metallic surface and the minimization of the percentage of solids in the paint, and by means of the application of a D-Optimo experimental design based on restrictions, it was determined that the Process variables: Monomer, Interlacer and Resin have a statistically significant relationship both with the hardness of the paint layer and with the percentage of solids in the paint. 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