Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant
- Autores
- Durand, Guillermo Andrés; Moreno, Marta Susana; Mele, Fernando Daniel; Montagna, Jorge Marcelo; Bandoni, Jose Alberto
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This paper addresses the comparison between two techniques for the optimization under parametric uncertainty of multiproduct batch plants integrating design and production planning decisions. This problem has been conceived as a two-stage stochastic MixedInteger Linear Programming (MILP) in which the first-stage decisions consist of design variables that allow determining the batch plant structure, and the second-stage decisions consist of production planning continuous variables in a multi-period context. The objective function maximizes the expected net present value. In the first solving approach, the problem has been tackled through mathematical programming considering a discrete set of scenarios. In the second solving approach, the multi-scenario MILPproblem has been reformulated by adopting a simulation-based optimization scheme to accommodate the variables belonging to different management levels. Advantages and disadvantages of both approaches are demonstrated through a case study. Results allow concluding that a simulation-based optimization strategy may be a suitable technique to afford two-stage stochastic programming problems.
Fil: Durand, Guillermo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Moreno, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Mele, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán; Argentina
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina - Materia
-
UNCERTAINTY
TWO-STAGE STOCHASTIC PROGRAMMING
SIMULATION-BASED OPTIMIZATION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/77394
Ver los metadatos del registro completo
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Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plantDurand, Guillermo AndrésMoreno, Marta SusanaMele, Fernando DanielMontagna, Jorge MarceloBandoni, Jose AlbertoUNCERTAINTYTWO-STAGE STOCHASTIC PROGRAMMINGSIMULATION-BASED OPTIMIZATIONhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2https://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1This paper addresses the comparison between two techniques for the optimization under parametric uncertainty of multiproduct batch plants integrating design and production planning decisions. This problem has been conceived as a two-stage stochastic MixedInteger Linear Programming (MILP) in which the first-stage decisions consist of design variables that allow determining the batch plant structure, and the second-stage decisions consist of production planning continuous variables in a multi-period context. The objective function maximizes the expected net present value. In the first solving approach, the problem has been tackled through mathematical programming considering a discrete set of scenarios. In the second solving approach, the multi-scenario MILPproblem has been reformulated by adopting a simulation-based optimization scheme to accommodate the variables belonging to different management levels. Advantages and disadvantages of both approaches are demonstrated through a case study. Results allow concluding that a simulation-based optimization strategy may be a suitable technique to afford two-stage stochastic programming problems.Fil: Durand, Guillermo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Moreno, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Mele, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán; ArgentinaFil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaUniversidade Federal de Santa Catarina2013-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/77394Durand, Guillermo Andrés; Moreno, Marta Susana; Mele, Fernando Daniel; Montagna, Jorge Marcelo; Bandoni, Jose Alberto; Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant; Universidade Federal de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 5; 10; 10-2013; 43-542175-8018CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/3044info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:08:36Zoai:ri.conicet.gov.ar:11336/77394instacron: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:34982025-09-03 10:08:36.885CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant |
title |
Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant |
spellingShingle |
Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant Durand, Guillermo Andrés UNCERTAINTY TWO-STAGE STOCHASTIC PROGRAMMING SIMULATION-BASED OPTIMIZATION |
title_short |
Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant |
title_full |
Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant |
title_fullStr |
Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant |
title_full_unstemmed |
Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant |
title_sort |
Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant |
dc.creator.none.fl_str_mv |
Durand, Guillermo Andrés Moreno, Marta Susana Mele, Fernando Daniel Montagna, Jorge Marcelo Bandoni, Jose Alberto |
author |
Durand, Guillermo Andrés |
author_facet |
Durand, Guillermo Andrés Moreno, Marta Susana Mele, Fernando Daniel Montagna, Jorge Marcelo Bandoni, Jose Alberto |
author_role |
author |
author2 |
Moreno, Marta Susana Mele, Fernando Daniel Montagna, Jorge Marcelo Bandoni, Jose Alberto |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
UNCERTAINTY TWO-STAGE STOCHASTIC PROGRAMMING SIMULATION-BASED OPTIMIZATION |
topic |
UNCERTAINTY TWO-STAGE STOCHASTIC PROGRAMMING SIMULATION-BASED OPTIMIZATION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
This paper addresses the comparison between two techniques for the optimization under parametric uncertainty of multiproduct batch plants integrating design and production planning decisions. This problem has been conceived as a two-stage stochastic MixedInteger Linear Programming (MILP) in which the first-stage decisions consist of design variables that allow determining the batch plant structure, and the second-stage decisions consist of production planning continuous variables in a multi-period context. The objective function maximizes the expected net present value. In the first solving approach, the problem has been tackled through mathematical programming considering a discrete set of scenarios. In the second solving approach, the multi-scenario MILPproblem has been reformulated by adopting a simulation-based optimization scheme to accommodate the variables belonging to different management levels. Advantages and disadvantages of both approaches are demonstrated through a case study. Results allow concluding that a simulation-based optimization strategy may be a suitable technique to afford two-stage stochastic programming problems. Fil: Durand, Guillermo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina Fil: Moreno, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina Fil: Mele, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina. Universidad Nacional de Tucumán; Argentina Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina |
description |
This paper addresses the comparison between two techniques for the optimization under parametric uncertainty of multiproduct batch plants integrating design and production planning decisions. This problem has been conceived as a two-stage stochastic MixedInteger Linear Programming (MILP) in which the first-stage decisions consist of design variables that allow determining the batch plant structure, and the second-stage decisions consist of production planning continuous variables in a multi-period context. The objective function maximizes the expected net present value. In the first solving approach, the problem has been tackled through mathematical programming considering a discrete set of scenarios. In the second solving approach, the multi-scenario MILPproblem has been reformulated by adopting a simulation-based optimization scheme to accommodate the variables belonging to different management levels. Advantages and disadvantages of both approaches are demonstrated through a case study. Results allow concluding that a simulation-based optimization strategy may be a suitable technique to afford two-stage stochastic programming problems. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/77394 Durand, Guillermo Andrés; Moreno, Marta Susana; Mele, Fernando Daniel; Montagna, Jorge Marcelo; Bandoni, Jose Alberto; Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant; Universidade Federal de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 5; 10; 10-2013; 43-54 2175-8018 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/77394 |
identifier_str_mv |
Durand, Guillermo Andrés; Moreno, Marta Susana; Mele, Fernando Daniel; Montagna, Jorge Marcelo; Bandoni, Jose Alberto; Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant; Universidade Federal de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 5; 10; 10-2013; 43-54 2175-8018 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/3044 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina |
publisher.none.fl_str_mv |
Universidade Federal de Santa Catarina |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842270052006494208 |
score |
13.13397 |