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dc.contributor.author
Durand, Guillermo Andrés
dc.contributor.author
Moreno, Marta Susana
dc.contributor.author
Mele, Fernando Daniel
dc.contributor.author
Montagna, Jorge Marcelo
dc.contributor.author
Bandoni, Jose Alberto
dc.date.available
2015-07-03T20:58:07Z
dc.date.issued
2013-06
dc.identifier.citation
Durand, Guillermo Andrés; Moreno, Marta Susana; Mele, Fernando Daniel; Montagna, Jorge Marcelo; Bandoni, Jose Alberto; IJIE-2013: Comparing the Performances of Two Techniques for the Optimization under Uncertainty of the Simultaneous Design and Planning of a Multiproduct Btach Plant; Universidad Federal de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 5; 10; 6-2013; 43-54
dc.identifier.issn
2175-8018
dc.identifier.uri
http://hdl.handle.net/11336/1016
dc.description.abstract
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 Mixed Integer 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 MILP problem 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
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Universidad Federal de Santa Catarina
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Uncertainty
dc.subject
Two-Stage Stochastic Programming
dc.subject
Simulation Based Optimization
dc.subject.classification
Ingenierías y Tecnologías
dc.subject.classification
Ingeniería Química
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Ingeniería de Procesos Químicos
dc.title
IJIE-2013: Comparing the Performances of Two Techniques for the Optimization under Uncertainty of the Simultaneous Design and Planning of a Multiproduct Btach Plant
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-03-30 10:35:44.97925-03
dc.journal.volume
5
dc.journal.number
10
dc.journal.pagination
43-54
dc.journal.pais
Brasil
dc.journal.ciudad
Florianópolis, Santa Catarina, Brasil
dc.description.fil
Fil: Durand, Guillermo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahia Blanca. Planta Piloto de Ingenieria Quimica (i); Argentina;
dc.description.fil
Fil: Moreno, Marta Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahia Blanca. Planta Piloto de Ingenieria Quimica (i); Argentina;
dc.description.fil
Fil: Mele, Fernando Daniel. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnologia; Argentina;
dc.description.fil
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina;
dc.description.fil
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Bahia Blanca. Planta Piloto de Ingenieria Quimica (i); Argentina;
dc.journal.title
Iberoamerican Journal of Industrial Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/incubadora.periodicos.ufsc.br/index.php/IJIE


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