An analysis of formulations for the capacitated lot sizing problem with setup crossover

Detalhes bibliográficos
Autor(a) principal: Fiorotto, Diego Jacinto [UNESP]
Data de Publicação: 2017
Outros Autores: Jans, Raf, Araujo, Silvio Alexandre de [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.cie.2016.12.037
http://hdl.handle.net/11449/162632
Resumo: The lot sizing problem with setup crossover is an extension of the standard big bucket capacitated lot sizing problem (CLSP). The general idea is that the first setup operation of each planning period can already start in the previous period, if not all the capacity is used in that previous period. This provides more flexibility in the planning and increases the possibility of finding feasible and better solutions compared to the standard assumption. Two different formulations have been presented in the literature to model a setup crossover. Since these formulations have not been compared directly to each other, we present a computational study to determine which is the best formulation. Furthermore, we explore ideas indicating that in one of the formulations from the literature it is not necessary to impose binary conditions on the crossover variables and we propose symmetry breaking constraints for both formulations from the literature. Finally, we quantify the value of this type of flexibility in a computational experiment and analyze which factors influence this value. (C) 2016 Published by Elsevier Ltd.
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spelling An analysis of formulations for the capacitated lot sizing problem with setup crossoverProductionMathematical formulationsLot sizingSetup crossoverSymmetry breakingThe lot sizing problem with setup crossover is an extension of the standard big bucket capacitated lot sizing problem (CLSP). The general idea is that the first setup operation of each planning period can already start in the previous period, if not all the capacity is used in that previous period. This provides more flexibility in the planning and increases the possibility of finding feasible and better solutions compared to the standard assumption. Two different formulations have been presented in the literature to model a setup crossover. Since these formulations have not been compared directly to each other, we present a computational study to determine which is the best formulation. Furthermore, we explore ideas indicating that in one of the formulations from the literature it is not necessary to impose binary conditions on the crossover variables and we propose symmetry breaking constraints for both formulations from the literature. Finally, we quantify the value of this type of flexibility in a computational experiment and analyze which factors influence this value. (C) 2016 Published by Elsevier Ltd.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Natural Sciences and Engineering Research Council of CanadaUniv Estadual Paulista, Dept Matemat Aplicada, BR-15054000 Sao Jose Do Rio Preto, SP, BrazilHEC Montreal, Montreal, PQ H3T 2A7, CanadaCIRRELT, Montreal, PQ H3T 2A7, CanadaUniv Estadual Paulista, Dept Matemat Aplicada, BR-15054000 Sao Jose Do Rio Preto, SP, BrazilFAPESP: 2010/16727-9FAPESP: 2013/00965-6FAPESP: 2014/01203-5Natural Sciences and Engineering Research Council of Canada: 371966-2009Elsevier B.V.Universidade Estadual Paulista (Unesp)HEC MontrealCIRRELTFiorotto, Diego Jacinto [UNESP]Jans, RafAraujo, Silvio Alexandre de [UNESP]2018-11-26T17:24:13Z2018-11-26T17:24:13Z2017-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article338-350application/pdfhttp://dx.doi.org/10.1016/j.cie.2016.12.037Computers & Industrial Engineering. Oxford: Pergamon-elsevier Science Ltd, v. 106, p. 338-350, 2017.0360-8352http://hdl.handle.net/11449/16263210.1016/j.cie.2016.12.037WOS:000397820300024WOS000397820300024.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputers & Industrial Engineering1,463info:eu-repo/semantics/openAccess2023-12-01T06:17:03Zoai:repositorio.unesp.br:11449/162632Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:14:39.142492Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An analysis of formulations for the capacitated lot sizing problem with setup crossover
title An analysis of formulations for the capacitated lot sizing problem with setup crossover
spellingShingle An analysis of formulations for the capacitated lot sizing problem with setup crossover
Fiorotto, Diego Jacinto [UNESP]
Production
Mathematical formulations
Lot sizing
Setup crossover
Symmetry breaking
title_short An analysis of formulations for the capacitated lot sizing problem with setup crossover
title_full An analysis of formulations for the capacitated lot sizing problem with setup crossover
title_fullStr An analysis of formulations for the capacitated lot sizing problem with setup crossover
title_full_unstemmed An analysis of formulations for the capacitated lot sizing problem with setup crossover
title_sort An analysis of formulations for the capacitated lot sizing problem with setup crossover
author Fiorotto, Diego Jacinto [UNESP]
author_facet Fiorotto, Diego Jacinto [UNESP]
Jans, Raf
Araujo, Silvio Alexandre de [UNESP]
author_role author
author2 Jans, Raf
Araujo, Silvio Alexandre de [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
HEC Montreal
CIRRELT
dc.contributor.author.fl_str_mv Fiorotto, Diego Jacinto [UNESP]
Jans, Raf
Araujo, Silvio Alexandre de [UNESP]
dc.subject.por.fl_str_mv Production
Mathematical formulations
Lot sizing
Setup crossover
Symmetry breaking
topic Production
Mathematical formulations
Lot sizing
Setup crossover
Symmetry breaking
description The lot sizing problem with setup crossover is an extension of the standard big bucket capacitated lot sizing problem (CLSP). The general idea is that the first setup operation of each planning period can already start in the previous period, if not all the capacity is used in that previous period. This provides more flexibility in the planning and increases the possibility of finding feasible and better solutions compared to the standard assumption. Two different formulations have been presented in the literature to model a setup crossover. Since these formulations have not been compared directly to each other, we present a computational study to determine which is the best formulation. Furthermore, we explore ideas indicating that in one of the formulations from the literature it is not necessary to impose binary conditions on the crossover variables and we propose symmetry breaking constraints for both formulations from the literature. Finally, we quantify the value of this type of flexibility in a computational experiment and analyze which factors influence this value. (C) 2016 Published by Elsevier Ltd.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-01
2018-11-26T17:24:13Z
2018-11-26T17:24:13Z
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/10.1016/j.cie.2016.12.037
Computers & Industrial Engineering. Oxford: Pergamon-elsevier Science Ltd, v. 106, p. 338-350, 2017.
0360-8352
http://hdl.handle.net/11449/162632
10.1016/j.cie.2016.12.037
WOS:000397820300024
WOS000397820300024.pdf
url http://dx.doi.org/10.1016/j.cie.2016.12.037
http://hdl.handle.net/11449/162632
identifier_str_mv Computers & Industrial Engineering. Oxford: Pergamon-elsevier Science Ltd, v. 106, p. 338-350, 2017.
0360-8352
10.1016/j.cie.2016.12.037
WOS:000397820300024
WOS000397820300024.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computers & Industrial Engineering
1,463
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 338-350
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
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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