Integrated lot-sizing and cutting stock problem applied to the mattress industry

Detalhes bibliográficos
Autor(a) principal: Christofoletti, Maurício Móz [UNESP]
Data de Publicação: 2020
Outros Autores: de Araujo, Silvio Alexandre [UNESP], Cherri, Adriana Cristina [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1080/01605682.2020.1718013
http://hdl.handle.net/11449/198488
Resumo: In many productive processes, two important problems arise in the production planning: the lot-sizing problem and the cutting stock problem. Generally, companies deal with these problems separately but, by considering them in an integrated way, better results can be obtained. In this paper, the integrated lot-sizing and three-dimensional cutting stock problem applied to the mattress industry is investigated, aiming at reducing costs and waste. A mathematical model of mixed integer programming was proposed and solved with an optimisation package. Computational tests based on data collected at a mattress factory were carried out, allowing the comparison of the solutions proposed by the model and the solutions adopted by the factory. Additional tests were performed with random data in order to evaluate the behaviour of the model for different cases. The results indicate that the model performs well, reducing the objective function costs for different data sets. Based on the results, some interesting options can be explored by the industry; for example, by increasing the number of cutting patterns up to a certain level, the number of possible combinations for cutting is increased, resulting in better use of the material and a consequent reduction in costs.
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spelling Integrated lot-sizing and cutting stock problem applied to the mattress industryintegrated problemLot-sizing problemmattress industrythree-dimensional cutting stock problemIn many productive processes, two important problems arise in the production planning: the lot-sizing problem and the cutting stock problem. Generally, companies deal with these problems separately but, by considering them in an integrated way, better results can be obtained. In this paper, the integrated lot-sizing and three-dimensional cutting stock problem applied to the mattress industry is investigated, aiming at reducing costs and waste. A mathematical model of mixed integer programming was proposed and solved with an optimisation package. Computational tests based on data collected at a mattress factory were carried out, allowing the comparison of the solutions proposed by the model and the solutions adopted by the factory. Additional tests were performed with random data in order to evaluate the behaviour of the model for different cases. The results indicate that the model performs well, reducing the objective function costs for different data sets. Based on the results, some interesting options can be explored by the industry; for example, by increasing the number of cutting patterns up to a certain level, the number of possible combinations for cutting is increased, resulting in better use of the material and a consequent reduction in costs.Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) - Campus de BauruUniversidade Estadual Paulista Júlio de Mesquita Filho - Campus de São José do Rio PretoUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP) - Campus de BauruUniversidade Estadual Paulista Júlio de Mesquita Filho - Campus de São José do Rio PretoUniversidade Estadual Paulista (Unesp)Christofoletti, Maurício Móz [UNESP]de Araujo, Silvio Alexandre [UNESP]Cherri, Adriana Cristina [UNESP]2020-12-12T01:14:12Z2020-12-12T01:14:12Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1080/01605682.2020.1718013Journal of the Operational Research Society.1476-93600160-5682http://hdl.handle.net/11449/19848810.1080/01605682.2020.17180132-s2.0-85079072753Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of the Operational Research Societyinfo:eu-repo/semantics/openAccess2021-10-22T12:58:39Zoai:repositorio.unesp.br:11449/198488Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:14:41.794971Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Integrated lot-sizing and cutting stock problem applied to the mattress industry
title Integrated lot-sizing and cutting stock problem applied to the mattress industry
spellingShingle Integrated lot-sizing and cutting stock problem applied to the mattress industry
Christofoletti, Maurício Móz [UNESP]
integrated problem
Lot-sizing problem
mattress industry
three-dimensional cutting stock problem
title_short Integrated lot-sizing and cutting stock problem applied to the mattress industry
title_full Integrated lot-sizing and cutting stock problem applied to the mattress industry
title_fullStr Integrated lot-sizing and cutting stock problem applied to the mattress industry
title_full_unstemmed Integrated lot-sizing and cutting stock problem applied to the mattress industry
title_sort Integrated lot-sizing and cutting stock problem applied to the mattress industry
author Christofoletti, Maurício Móz [UNESP]
author_facet Christofoletti, Maurício Móz [UNESP]
de Araujo, Silvio Alexandre [UNESP]
Cherri, Adriana Cristina [UNESP]
author_role author
author2 de Araujo, Silvio Alexandre [UNESP]
Cherri, Adriana Cristina [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Christofoletti, Maurício Móz [UNESP]
de Araujo, Silvio Alexandre [UNESP]
Cherri, Adriana Cristina [UNESP]
dc.subject.por.fl_str_mv integrated problem
Lot-sizing problem
mattress industry
three-dimensional cutting stock problem
topic integrated problem
Lot-sizing problem
mattress industry
three-dimensional cutting stock problem
description In many productive processes, two important problems arise in the production planning: the lot-sizing problem and the cutting stock problem. Generally, companies deal with these problems separately but, by considering them in an integrated way, better results can be obtained. In this paper, the integrated lot-sizing and three-dimensional cutting stock problem applied to the mattress industry is investigated, aiming at reducing costs and waste. A mathematical model of mixed integer programming was proposed and solved with an optimisation package. Computational tests based on data collected at a mattress factory were carried out, allowing the comparison of the solutions proposed by the model and the solutions adopted by the factory. Additional tests were performed with random data in order to evaluate the behaviour of the model for different cases. The results indicate that the model performs well, reducing the objective function costs for different data sets. Based on the results, some interesting options can be explored by the industry; for example, by increasing the number of cutting patterns up to a certain level, the number of possible combinations for cutting is increased, resulting in better use of the material and a consequent reduction in costs.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T01:14:12Z
2020-12-12T01:14:12Z
2020-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1080/01605682.2020.1718013
Journal of the Operational Research Society.
1476-9360
0160-5682
http://hdl.handle.net/11449/198488
10.1080/01605682.2020.1718013
2-s2.0-85079072753
url http://dx.doi.org/10.1080/01605682.2020.1718013
http://hdl.handle.net/11449/198488
identifier_str_mv Journal of the Operational Research Society.
1476-9360
0160-5682
10.1080/01605682.2020.1718013
2-s2.0-85079072753
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of the Operational Research Society
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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