Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/7005
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dc.contributor.authorMansouri, A-
dc.contributor.authorAktas, E-
dc.date.accessioned2012-11-12T09:28:30Z-
dc.date.available2012-11-12T09:28:30Z-
dc.date.issued2012-
dc.identifier.citationINFORMS Annual Meeting, Phoenix, Arizona, USA, 14-17 Oct 2012en_US
dc.identifier.urihttps://informs.emeetingsonline.com/emeetings/formbuilder/clustersessiondtl.asp?csnno=17857&mmnno=220&ppnno=67207en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/7005-
dc.descriptionCopyright @ 2012 INFORMSen_US
dc.description.abstractA two-machine flowshop permutation scheduling problem is addressed to minimize Cmax and energy consumption as conflicting criteria. We develop a mathematical formulation and propose a Multi-Objective Genetic Algorithm (MOGA) to find approximations of the Pareto front. Performance of the MOGA is compared with Cplex on various problems. The MOGA can support informed decision making via trade-off analysis between Cmax as a measure of service and energy consumption as a measure of sustainability.en_US
dc.language.isoenen_US
dc.publisherINFORMSen_US
dc.subjectOperations managementen_US
dc.subjectSustainabilityen_US
dc.subjectDecision support systemsen_US
dc.titleEnergy considerations in a two machine flowshop scheduling problem with sequence dependent setupsen_US
dc.typePresentationen_US
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Active Staff-
pubs.organisational-data/Brunel/Brunel Active Staff/Brunel Business School-
pubs.organisational-data/Brunel/Brunel Active Staff/Brunel Business School/Business-
Appears in Collections:Business and Management
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Brunel Business School Research Papers

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