A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants

AbstractThe corrugator scheduling problem is a difficult problem due to a wide varietyof parameters and optimisation objectives that have to be accounted for andthe relationships among them. Majority of solution techniques proposed so faronly deal with minimizing either, the trim waste or pattern ch...

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Autores:
Germán A. Velásquez D.; Empaques Industriales
Gisella Bellini; Universidad del Norte
Carlos D. Paternina-Arboleda; Universidad del Norte
Tipo de recurso:
Fecha de publicación:
2011
Institución:
Universidad del Norte
Repositorio:
Repositorio Uninorte
Idioma:
eng
OAI Identifier:
oai:manglar.uninorte.edu.co:10584/3954
Acceso en línea:
http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/2113
http://hdl.handle.net/10584/3954
Palabra clave:
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License
http://purl.org/coar/access_right/c_abf2
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network_name_str Repositorio Uninorte
repository_id_str
spelling Germán A. Velásquez D.; Empaques IndustrialesGisella Bellini; Universidad del NorteCarlos D. Paternina-Arboleda; Universidad del NorteColombia2013-08-31T23:10:11Z2013-08-31T23:10:11Z2011-08-13http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/2113http://hdl.handle.net/10584/3954AbstractThe corrugator scheduling problem is a difficult problem due to a wide varietyof parameters and optimisation objectives that have to be accounted for andthe relationships among them. Majority of solution techniques proposed so faronly deal with minimizing either, the trim waste or pattern changes, this paperproposes a multi-objective evolutionary algorithm to optimize the WPL objective(weighted planning level) and the cost objectives. Computational experimentswere conducted and results were compared against the current shop schedulingmethod used at a real-life corrugator manufacturing facility. A series of experimentswere also conducted to determine the evolutionary algorithm parameters. Theimprovement on performance metrics encourages us to actually implement thealgorithm at the factory.The corrugator scheduling problem is a difficult problem due to a wide varietyof parameters and optimisation objectives that have to be accounted for andthe relationships among them. Majority of solution techniques proposed so faronly deal with minimizing either, the trim waste or pattern changes, this paperproposes a multi-objective evolutionary algorithm to optimize the WPL objective(weighted planning level) and the cost objectives. Computational experimentswere conducted and results were compared against the current shop schedulingmethod used at a real-life corrugator manufacturing facility. A series of experimentswere also conducted to determine the evolutionary algorithm parameters. Theimprovement on performance metrics encourages us to actually implement thealgorithm at the factory.application/pdfengUniversidad del NorteRevista Científica Ingeniería y Desarrollo; No 21 (2007): Enero - Junio; 73-92instname:Universidad del Nortereponame:Repositorio Digital de la Universidad del NorteA multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plantsA multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plantsarticlepublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/access_right/c_abf210584/3954oai:172.16.14.36:10584/39542015-10-07 01:47:20.104Repositorio Digital de la Universidad del Nortemauribe@uninorte.edu.co
dc.title.none.fl_str_mv A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants
A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants
title A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants
spellingShingle A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants
title_short A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants
title_full A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants
title_fullStr A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants
title_full_unstemmed A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants
title_sort A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants
dc.creator.fl_str_mv Germán A. Velásquez D.; Empaques Industriales
Gisella Bellini; Universidad del Norte
Carlos D. Paternina-Arboleda; Universidad del Norte
dc.contributor.author.none.fl_str_mv Germán A. Velásquez D.; Empaques Industriales
Gisella Bellini; Universidad del Norte
Carlos D. Paternina-Arboleda; Universidad del Norte
description AbstractThe corrugator scheduling problem is a difficult problem due to a wide varietyof parameters and optimisation objectives that have to be accounted for andthe relationships among them. Majority of solution techniques proposed so faronly deal with minimizing either, the trim waste or pattern changes, this paperproposes a multi-objective evolutionary algorithm to optimize the WPL objective(weighted planning level) and the cost objectives. Computational experimentswere conducted and results were compared against the current shop schedulingmethod used at a real-life corrugator manufacturing facility. A series of experimentswere also conducted to determine the evolutionary algorithm parameters. Theimprovement on performance metrics encourages us to actually implement thealgorithm at the factory.
publishDate 2011
dc.date.issued.none.fl_str_mv 2011-08-13
dc.date.accessioned.none.fl_str_mv 2013-08-31T23:10:11Z
dc.date.available.none.fl_str_mv 2013-08-31T23:10:11Z
dc.type.none.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.hasVersion.none.fl_str_mv publishedVersion
dc.identifier.other.none.fl_str_mv http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/2113
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10584/3954
url http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/2113
http://hdl.handle.net/10584/3954
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Revista Científica Ingeniería y Desarrollo; No 21 (2007): Enero - Junio; 73-92
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.coverage.spatial.none.fl_str_mv Colombia
dc.publisher.none.fl_str_mv Universidad del Norte
publisher.none.fl_str_mv Universidad del Norte
dc.source.none.fl_str_mv instname:Universidad del Norte
reponame:Repositorio Digital de la Universidad del Norte
instname_str Universidad del Norte
institution Universidad del Norte
reponame_str Repositorio Digital de la Universidad del Norte
collection Repositorio Digital de la Universidad del Norte
repository.name.fl_str_mv Repositorio Digital de la Universidad del Norte
repository.mail.fl_str_mv mauribe@uninorte.edu.co
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