Hybrid time slots sequencing model for a class of scheduling problems
- Autores
- Castro, Pedro M.; Zeballos, Luis Javier; Mendez, Carlos Alberto
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This article presents a new model for the short-term scheduling of multistage batch plants with a single unit per stage, mixed storage policies, and multiple shared resources for moving orders between stages. Automated wet-etching stations for wafer fabrication in semiconductor plants provide the industrial context. The uncommon feature of the continuous-time model is that it relies on time grids, as well as on global precedence sequencing variables, to find the optimal solution to the problem. Through the solution of a few test cases taken from the literature, we show that new model performs significantly better than a pure sequencing formulation and better than a closely related hybrid model with slightly different sequencing variables. We also propose a new efficient heuristic procedure for extending the range of problems that can effectively be solved, which essentially solves relaxed and constrained versions of the full-space model.
Fil: Castro, Pedro M.. Laboratório Nacional de Energia e Geologia; Portugal
Fil: Zeballos, Luis Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina - Materia
-
Robot
Mathematical Modeling;
Mixed-Integer Linear Programming
Continuous-Time Optimization - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
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- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/18808
Ver los metadatos del registro completo
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Hybrid time slots sequencing model for a class of scheduling problemsCastro, Pedro M.Zeballos, Luis JavierMendez, Carlos AlbertoRobotMathematical Modeling;Mixed-Integer Linear ProgrammingContinuous-Time Optimizationhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2This article presents a new model for the short-term scheduling of multistage batch plants with a single unit per stage, mixed storage policies, and multiple shared resources for moving orders between stages. Automated wet-etching stations for wafer fabrication in semiconductor plants provide the industrial context. The uncommon feature of the continuous-time model is that it relies on time grids, as well as on global precedence sequencing variables, to find the optimal solution to the problem. Through the solution of a few test cases taken from the literature, we show that new model performs significantly better than a pure sequencing formulation and better than a closely related hybrid model with slightly different sequencing variables. We also propose a new efficient heuristic procedure for extending the range of problems that can effectively be solved, which essentially solves relaxed and constrained versions of the full-space model.Fil: Castro, Pedro M.. Laboratório Nacional de Energia e Geologia; PortugalFil: Zeballos, Luis Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaWiley2012-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/18808Castro, Pedro M.; Zeballos, Luis Javier; Mendez, Carlos Alberto; Hybrid time slots sequencing model for a class of scheduling problems; Wiley; Aiche Journal; 58; 3; 3-2012; 789-8000001-1541CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/aic.12609info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/aic.12609/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-12T09:40:43Zoai:ri.conicet.gov.ar:11336/18808instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-12 09:40:44.064CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Hybrid time slots sequencing model for a class of scheduling problems |
| title |
Hybrid time slots sequencing model for a class of scheduling problems |
| spellingShingle |
Hybrid time slots sequencing model for a class of scheduling problems Castro, Pedro M. Robot Mathematical Modeling; Mixed-Integer Linear Programming Continuous-Time Optimization |
| title_short |
Hybrid time slots sequencing model for a class of scheduling problems |
| title_full |
Hybrid time slots sequencing model for a class of scheduling problems |
| title_fullStr |
Hybrid time slots sequencing model for a class of scheduling problems |
| title_full_unstemmed |
Hybrid time slots sequencing model for a class of scheduling problems |
| title_sort |
Hybrid time slots sequencing model for a class of scheduling problems |
| dc.creator.none.fl_str_mv |
Castro, Pedro M. Zeballos, Luis Javier Mendez, Carlos Alberto |
| author |
Castro, Pedro M. |
| author_facet |
Castro, Pedro M. Zeballos, Luis Javier Mendez, Carlos Alberto |
| author_role |
author |
| author2 |
Zeballos, Luis Javier Mendez, Carlos Alberto |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Robot Mathematical Modeling; Mixed-Integer Linear Programming Continuous-Time Optimization |
| topic |
Robot Mathematical Modeling; Mixed-Integer Linear Programming Continuous-Time Optimization |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.11 https://purl.org/becyt/ford/2 |
| dc.description.none.fl_txt_mv |
This article presents a new model for the short-term scheduling of multistage batch plants with a single unit per stage, mixed storage policies, and multiple shared resources for moving orders between stages. Automated wet-etching stations for wafer fabrication in semiconductor plants provide the industrial context. The uncommon feature of the continuous-time model is that it relies on time grids, as well as on global precedence sequencing variables, to find the optimal solution to the problem. Through the solution of a few test cases taken from the literature, we show that new model performs significantly better than a pure sequencing formulation and better than a closely related hybrid model with slightly different sequencing variables. We also propose a new efficient heuristic procedure for extending the range of problems that can effectively be solved, which essentially solves relaxed and constrained versions of the full-space model. Fil: Castro, Pedro M.. Laboratório Nacional de Energia e Geologia; Portugal Fil: Zeballos, Luis Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina |
| description |
This article presents a new model for the short-term scheduling of multistage batch plants with a single unit per stage, mixed storage policies, and multiple shared resources for moving orders between stages. Automated wet-etching stations for wafer fabrication in semiconductor plants provide the industrial context. The uncommon feature of the continuous-time model is that it relies on time grids, as well as on global precedence sequencing variables, to find the optimal solution to the problem. Through the solution of a few test cases taken from the literature, we show that new model performs significantly better than a pure sequencing formulation and better than a closely related hybrid model with slightly different sequencing variables. We also propose a new efficient heuristic procedure for extending the range of problems that can effectively be solved, which essentially solves relaxed and constrained versions of the full-space model. |
| publishDate |
2012 |
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2012-03 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/18808 Castro, Pedro M.; Zeballos, Luis Javier; Mendez, Carlos Alberto; Hybrid time slots sequencing model for a class of scheduling problems; Wiley; Aiche Journal; 58; 3; 3-2012; 789-800 0001-1541 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/18808 |
| identifier_str_mv |
Castro, Pedro M.; Zeballos, Luis Javier; Mendez, Carlos Alberto; Hybrid time slots sequencing model for a class of scheduling problems; Wiley; Aiche Journal; 58; 3; 3-2012; 789-800 0001-1541 CONICET Digital CONICET |
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eng |
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