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dc.contributor.authorCapón García, Elisabet
dc.contributor.authorBojarski, Aarón David
dc.contributor.authorEspuña Camarasa, Antonio
dc.contributor.authorPuigjaner Corbella, Lluís
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2013-06-29T15:24:31Z
dc.date.created2012-06-01
dc.date.issued2012-06-01
dc.identifier.citationCapon-García, E. [et al.]. Multiobjective Evolutionary Optimization of Batch Process Scheduling Under Environmental and Economic Concerns. "AICHE journal", 01 Juny 2012, vol. 59, núm. 2, p. 429-444.
dc.identifier.issn0001-1541
dc.identifier.urihttp://hdl.handle.net/2117/19729
dc.description.abstractThe simultaneous consideration of economic and environmental objectives in batch production scheduling is today a subject of major concern. However, it constitutes a complex problem whose solution necessarily entails production trade-offs. Unfortunately, a rigorous multiobjective optimization approach to solve this kind of problem often implies high computational effort and time, which seriously undermine its applicability to day-to-day operation in industrial practice. Hence, this work presents a hybrid optimization strategy based on rigorous local search and genetic algorithm to efficiently deal with industrial scale batch scheduling problems. Thus, a deeper insight into the combined environmental and economic issues when considering the trade-offs of adopting a particular schedule is provided. The proposed methodology is applied to a case study concerning a multiproduct acrylic fiber production plant, where product changeovers influence the problem results. The proposed strategy stands for a marked improvement in effectively incorporating multiobjective optimization in short-term plant operation.
dc.format.extent16 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria química::Indústria dels processos químics
dc.subject.lcshPlant chemical ecology
dc.subject.lcshChemical engineering--Data processing
dc.subject.otherEvolutionary algorithms
dc.subject.otherLCA
dc.subject.otherMultiobjective optimization
dc.subject.otherMultiproduct batch scheduling
dc.subject.otherProduct changeover
dc.subject.otherSequence dependency
dc.titleMultiobjective Evolutionary Optimization of Batch Process Scheduling Under Environmental and Economic Concerns
dc.typeArticle
dc.subject.lemacPlantes químiques -- Aparells i instruments
dc.subject.lemacEnginyeria química -- Aspectes econòmics
dc.contributor.groupUniversitat Politècnica de Catalunya. CEPIMA - Centre d'Enginyeria de Processos i Medi Ambient
dc.identifier.doi10.1002/aic.13841
dc.rights.accessRestricted access - publisher's policy
drac.iddocument12612909
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorCapon-García, E.; Bojarski, A.; Espuña, A.; Puigjaner, L.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameAICHE journal
upcommons.citation.volume59
upcommons.citation.number2
upcommons.citation.startingPage429
upcommons.citation.endingPage444
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Salvo que se indique lo contrario, los contenidos de esta obra estan sujetos a la licencia de Creative Commons: Reconocimiento-NoComercial-SinObraDerivada 3.0 España