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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/116730
Ver los metadatos del registro completo
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 |