The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s12351-022-00735-9 http://hdl.handle.net/11449/240616 |
Resumo: | Different variations of the classic cutting stock problem (CSP) have emerged and presented increasingly complex challenges for scientists and researchers. One of these variations, which is the central subject of this work, is the two-dimensional cutting stock problem with usable leftovers (2D-CSPUL). In these problems, leftovers can be generated to reduce waste. This technique has great practical importance for many companies, with a strong economic and environmental impact. In this paper, a non-linear mathematical model and its linearization are proposed to represent the 2D-CSPUL. Due to the complexity of the model, a heuristic procedure was also proposed. Computational tests were performed with instances from the literature and randomly generated instances. The results demonstrate that the proposed model and the heuristic procedure satisfactorily solve the problem, proving to be adequate and beneficial tools when applied to real situations. |
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Repositório Institucional da UNESP |
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spelling |
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approachesExact methodsHeuristic procedureMathematical modellingTwo-dimensional cutting stock problemUsable leftoversDifferent variations of the classic cutting stock problem (CSP) have emerged and presented increasingly complex challenges for scientists and researchers. One of these variations, which is the central subject of this work, is the two-dimensional cutting stock problem with usable leftovers (2D-CSPUL). In these problems, leftovers can be generated to reduce waste. This technique has great practical importance for many companies, with a strong economic and environmental impact. In this paper, a non-linear mathematical model and its linearization are proposed to represent the 2D-CSPUL. Due to the complexity of the model, a heuristic procedure was also proposed. Computational tests were performed with instances from the literature and randomly generated instances. The results demonstrate that the proposed model and the heuristic procedure satisfactorily solve the problem, proving to be adequate and beneficial tools when applied to real situations.São Paulo State University (UNESP)University of PortoSão Paulo State University (UNESP)Universidade Estadual Paulista (UNESP)University of PortoNascimento, Douglas Nogueira do [UNESP]Cherri, Adriana Cristina [UNESP]Oliveira, José Fernando2023-03-01T20:25:13Z2023-03-01T20:25:13Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s12351-022-00735-9Operational Research.1866-15051109-2858http://hdl.handle.net/11449/24061610.1007/s12351-022-00735-92-s2.0-85135623809Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengOperational Researchinfo:eu-repo/semantics/openAccess2023-03-01T20:25:13Zoai:repositorio.unesp.br:11449/240616Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:12:05.029448Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches |
title |
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches |
spellingShingle |
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches Nascimento, Douglas Nogueira do [UNESP] Exact methods Heuristic procedure Mathematical modelling Two-dimensional cutting stock problem Usable leftovers |
title_short |
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches |
title_full |
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches |
title_fullStr |
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches |
title_full_unstemmed |
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches |
title_sort |
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches |
author |
Nascimento, Douglas Nogueira do [UNESP] |
author_facet |
Nascimento, Douglas Nogueira do [UNESP] Cherri, Adriana Cristina [UNESP] Oliveira, José Fernando |
author_role |
author |
author2 |
Cherri, Adriana Cristina [UNESP] Oliveira, José Fernando |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) University of Porto |
dc.contributor.author.fl_str_mv |
Nascimento, Douglas Nogueira do [UNESP] Cherri, Adriana Cristina [UNESP] Oliveira, José Fernando |
dc.subject.por.fl_str_mv |
Exact methods Heuristic procedure Mathematical modelling Two-dimensional cutting stock problem Usable leftovers |
topic |
Exact methods Heuristic procedure Mathematical modelling Two-dimensional cutting stock problem Usable leftovers |
description |
Different variations of the classic cutting stock problem (CSP) have emerged and presented increasingly complex challenges for scientists and researchers. One of these variations, which is the central subject of this work, is the two-dimensional cutting stock problem with usable leftovers (2D-CSPUL). In these problems, leftovers can be generated to reduce waste. This technique has great practical importance for many companies, with a strong economic and environmental impact. In this paper, a non-linear mathematical model and its linearization are proposed to represent the 2D-CSPUL. Due to the complexity of the model, a heuristic procedure was also proposed. Computational tests were performed with instances from the literature and randomly generated instances. The results demonstrate that the proposed model and the heuristic procedure satisfactorily solve the problem, proving to be adequate and beneficial tools when applied to real situations. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T20:25:13Z 2023-03-01T20:25:13Z |
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/10.1007/s12351-022-00735-9 Operational Research. 1866-1505 1109-2858 http://hdl.handle.net/11449/240616 10.1007/s12351-022-00735-9 2-s2.0-85135623809 |
url |
http://dx.doi.org/10.1007/s12351-022-00735-9 http://hdl.handle.net/11449/240616 |
identifier_str_mv |
Operational Research. 1866-1505 1109-2858 10.1007/s12351-022-00735-9 2-s2.0-85135623809 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Operational Research |
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 |
|
_version_ |
1808128618408181760 |