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dc.contributor.authorKopanos, Georgios
dc.contributor.authorLainez Aguirre, José Miguel
dc.contributor.authorPuigjaner Corbella, Lluís
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2010-01-25T14:32:56Z
dc.date.available2010-01-25T14:32:56Z
dc.date.created2009-11-08
dc.date.issued2009-11-08
dc.identifier.citationKopanos, G.; Lainez, J.; Puigjaner, L. Short-term scheduling in multi-stage batch plants through Lagrangean decomposition.. A: 2009 AIChE Annual Meeting. "2009 AIChE Annual Meeting". Nashville, TN: 2009, p. 472-474.
dc.identifier.isbn978-0-8169-1058-6
dc.identifier.urihttp://hdl.handle.net/2117/6221
dc.description.abstractIn this work, a continuous-time Mixed-Integer Linear Programming (MILP) model for the short-term scheduling in multi-stage batch plants is used. The MILP model accounts for ready unit times, release order times, sequence-dependent changeovers, transfer times between adjacent processing stages and different intermediates storage policies. A Lagrangean decomposition technique (Conejo et al., 2002) is applied to the MILP model in order to facilitate the resolution of real-world industrial cases. The proposed decomposition technique is thoroughly examined. An industrial case study of a multi-product multi-stage pharmaceuticals batch plant is addressed in order to demonstrate the performance and the advantages of the proposed decomposition scheme. The pharmaceutical plant under study consists of 17 processing equipments. The numerous (30 to 50) final products require 5 to 6 processing stages. Sequence-dependent changeovers are permitted in most stages. It is noteworthy that changeovers are usually of the same order of magnitude or even larger than the processing times. The main optimization goal is the minimization of the makespan. Results obtained are discussed highlighting the advantages and the special characteristics of the proposed scheduling model.
dc.format.extent3 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Programació
dc.titleShort-term scheduling in multi-stage batch plants through Lagrangean decomposition.
dc.typeConference lecture
dc.subject.lemacIndustria farmacèutica -- Mètodes estadístics
dc.subject.lemacProgramació lineal
dc.contributor.groupUniversitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://aiche.confex.com/aiche/2009/webprogram/Paper161655.html
dc.rights.accessOpen Access
drac.iddocument2434867
dc.description.versionPostprint (published version)
upcommons.citation.authorKopanos, G.; Lainez, J.; Puigjaner, L.
upcommons.citation.contributor2009 AIChE Annual Meeting
upcommons.citation.pubplaceNashville, TN
upcommons.citation.publishedtrue
upcommons.citation.publicationName2009 AIChE Annual Meeting
upcommons.citation.startingPage472
upcommons.citation.endingPage474


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