An optimization model for production planning in the drying sector of an industrial laundry
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29797 |
Resumo: | In this work, an optimization model was developed for production planning in the drying sector of a real industrial laundry. Goal programming was used in order to minimize energy and labor costs, and to use of the full capacity of each piece of equipment, as far as possible. Constraints imposed were not to mix different types of products in each lot, dependence of lot assignment on the lots already assigned, the requirement to have a positive global contribution margin, and that each available dryer should be used within a specified capacity range. The independent variables were the numbers of items in each lot, according to product type. The Mixed Integer Linear Programming model developed was solved using GAMS and was applied to an industrial laundry located in Maringá, Paraná State, Brazil. The study demonstrated that it was possible to establish plans for efficient production and optimal allocation of resources. The existing global contribution margin of the industrial laundry ($295,405.50) was significantly smaller than the one that could be achieved with optimal operation ($647,770.00), because the existing operation did not make use of full capacity. The tool developed proved to be useful for assisting production planning in this kind of industrial process. |
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An optimization model for production planning in the drying sector of an industrial laundrygoal programmingoptimizationMILP.OtimizaçãoIn this work, an optimization model was developed for production planning in the drying sector of a real industrial laundry. Goal programming was used in order to minimize energy and labor costs, and to use of the full capacity of each piece of equipment, as far as possible. Constraints imposed were not to mix different types of products in each lot, dependence of lot assignment on the lots already assigned, the requirement to have a positive global contribution margin, and that each available dryer should be used within a specified capacity range. The independent variables were the numbers of items in each lot, according to product type. The Mixed Integer Linear Programming model developed was solved using GAMS and was applied to an industrial laundry located in Maringá, Paraná State, Brazil. The study demonstrated that it was possible to establish plans for efficient production and optimal allocation of resources. The existing global contribution margin of the industrial laundry ($295,405.50) was significantly smaller than the one that could be achieved with optimal operation ($647,770.00), because the existing operation did not make use of full capacity. The tool developed proved to be useful for assisting production planning in this kind of industrial process. Universidade Estadual De Maringá2017-02-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionotimizaçãoapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/2979710.4025/actascitechnol.v39i1.29797Acta Scientiarum. Technology; Vol 39 No 1 (2017); 69-77Acta Scientiarum. Technology; v. 39 n. 1 (2017); 69-771806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29797/pdfCopyright (c) 2017 Acta Scientiarum. Technologyinfo:eu-repo/semantics/openAccessOliveira, Eduardo AlvesCosta, Caliane Bastos BorbaRavagnani, Mauro Antonio da Silva Sá2017-02-24T10:36:53Zoai:periodicos.uem.br/ojs:article/29797Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2017-02-24T10:36:53Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
An optimization model for production planning in the drying sector of an industrial laundry |
title |
An optimization model for production planning in the drying sector of an industrial laundry |
spellingShingle |
An optimization model for production planning in the drying sector of an industrial laundry Oliveira, Eduardo Alves goal programming optimization MILP. Otimização |
title_short |
An optimization model for production planning in the drying sector of an industrial laundry |
title_full |
An optimization model for production planning in the drying sector of an industrial laundry |
title_fullStr |
An optimization model for production planning in the drying sector of an industrial laundry |
title_full_unstemmed |
An optimization model for production planning in the drying sector of an industrial laundry |
title_sort |
An optimization model for production planning in the drying sector of an industrial laundry |
author |
Oliveira, Eduardo Alves |
author_facet |
Oliveira, Eduardo Alves Costa, Caliane Bastos Borba Ravagnani, Mauro Antonio da Silva Sá |
author_role |
author |
author2 |
Costa, Caliane Bastos Borba Ravagnani, Mauro Antonio da Silva Sá |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Oliveira, Eduardo Alves Costa, Caliane Bastos Borba Ravagnani, Mauro Antonio da Silva Sá |
dc.subject.por.fl_str_mv |
goal programming optimization MILP. Otimização |
topic |
goal programming optimization MILP. Otimização |
description |
In this work, an optimization model was developed for production planning in the drying sector of a real industrial laundry. Goal programming was used in order to minimize energy and labor costs, and to use of the full capacity of each piece of equipment, as far as possible. Constraints imposed were not to mix different types of products in each lot, dependence of lot assignment on the lots already assigned, the requirement to have a positive global contribution margin, and that each available dryer should be used within a specified capacity range. The independent variables were the numbers of items in each lot, according to product type. The Mixed Integer Linear Programming model developed was solved using GAMS and was applied to an industrial laundry located in Maringá, Paraná State, Brazil. The study demonstrated that it was possible to establish plans for efficient production and optimal allocation of resources. The existing global contribution margin of the industrial laundry ($295,405.50) was significantly smaller than the one that could be achieved with optimal operation ($647,770.00), because the existing operation did not make use of full capacity. The tool developed proved to be useful for assisting production planning in this kind of industrial process. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02-24 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion otimização |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29797 10.4025/actascitechnol.v39i1.29797 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29797 |
identifier_str_mv |
10.4025/actascitechnol.v39i1.29797 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29797/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology; Vol 39 No 1 (2017); 69-77 Acta Scientiarum. Technology; v. 39 n. 1 (2017); 69-77 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta scientiarum. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1799315336302952448 |