A mathematical approach for the optimal planning of drying operation

Autores
Vanzetti, Nicolás; Corsano, Gabriela; Montagna, Jorge Marcelo
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Lumber drying is an important stage in sawmills since lumber charateristics required by the market are achieved through this operation. Generally, it is a batch process that is carried out in drying kilns that operate in parallel out of phase. This work presents a mixed integer linear programming model (MILP) for the optimal planning of this process stage. The model determines how board packages are processed in dryers and the start and end times of each drying cycle in each kiln. This approach combines concepts of both multidimensional bin packing ‒to plan the load of kilns‒ and parallel machine scheduling ‒to sequence drying cycles. The model is tested with different objective functions that represent different work criteria related to sawmills.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Sawmills
Lumber dryers
Scheduling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/116730

id SEDICI_cce4f22912d16e695a53081a5743d4c9
oai_identifier_str oai:sedici.unlp.edu.ar:10915/116730
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A mathematical approach for the optimal planning of drying operationVanzetti, NicolásCorsano, GabrielaMontagna, Jorge MarceloCiencias InformáticasSawmillsLumber dryersSchedulingLumber drying is an important stage in sawmills since lumber charateristics required by the market are achieved through this operation. Generally, it is a batch process that is carried out in drying kilns that operate in parallel out of phase. This work presents a mixed integer linear programming model (MILP) for the optimal planning of this process stage. The model determines how board packages are processed in dryers and the start and end times of each drying cycle in each kiln. This approach combines concepts of both multidimensional bin packing ‒to plan the load of kilns‒ and parallel machine scheduling ‒to sequence drying cycles. The model is tested with different objective functions that represent different work criteria related to sawmills.Sociedad Argentina de Informática e Investigación Operativa2020-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf46-59http://sedici.unlp.edu.ar/handle/10915/116730enginfo:eu-repo/semantics/altIdentifier/url/http://49jaiio.sadio.org.ar/pdfs/siiio/SIIIO-05.pdfinfo:eu-repo/semantics/altIdentifier/issn/2618-3277info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:27:24Zoai:sedici.unlp.edu.ar:10915/116730Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:27:25.208SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A mathematical approach for the optimal planning of drying operation
title A mathematical approach for the optimal planning of drying operation
spellingShingle A mathematical approach for the optimal planning of drying operation
Vanzetti, Nicolás
Ciencias Informáticas
Sawmills
Lumber dryers
Scheduling
title_short A mathematical approach for the optimal planning of drying operation
title_full A mathematical approach for the optimal planning of drying operation
title_fullStr A mathematical approach for the optimal planning of drying operation
title_full_unstemmed A mathematical approach for the optimal planning of drying operation
title_sort A mathematical approach for the optimal planning of drying operation
dc.creator.none.fl_str_mv Vanzetti, Nicolás
Corsano, Gabriela
Montagna, Jorge Marcelo
author Vanzetti, Nicolás
author_facet Vanzetti, Nicolás
Corsano, Gabriela
Montagna, Jorge Marcelo
author_role author
author2 Corsano, Gabriela
Montagna, Jorge Marcelo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Sawmills
Lumber dryers
Scheduling
topic Ciencias Informáticas
Sawmills
Lumber dryers
Scheduling
dc.description.none.fl_txt_mv Lumber drying is an important stage in sawmills since lumber charateristics required by the market are achieved through this operation. Generally, it is a batch process that is carried out in drying kilns that operate in parallel out of phase. This work presents a mixed integer linear programming model (MILP) for the optimal planning of this process stage. The model determines how board packages are processed in dryers and the start and end times of each drying cycle in each kiln. This approach combines concepts of both multidimensional bin packing ‒to plan the load of kilns‒ and parallel machine scheduling ‒to sequence drying cycles. The model is tested with different objective functions that represent different work criteria related to sawmills.
Sociedad Argentina de Informática e Investigación Operativa
description Lumber drying is an important stage in sawmills since lumber charateristics required by the market are achieved through this operation. Generally, it is a batch process that is carried out in drying kilns that operate in parallel out of phase. This work presents a mixed integer linear programming model (MILP) for the optimal planning of this process stage. The model determines how board packages are processed in dryers and the start and end times of each drying cycle in each kiln. This approach combines concepts of both multidimensional bin packing ‒to plan the load of kilns‒ and parallel machine scheduling ‒to sequence drying cycles. The model is tested with different objective functions that represent different work criteria related to sawmills.
publishDate 2020
dc.date.none.fl_str_mv 2020-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/116730
url http://sedici.unlp.edu.ar/handle/10915/116730
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://49jaiio.sadio.org.ar/pdfs/siiio/SIIIO-05.pdf
info:eu-repo/semantics/altIdentifier/issn/2618-3277
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/3.0/
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
dc.format.none.fl_str_mv application/pdf
46-59
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616152191336448
score 13.069144