Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/7917
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dc.contributor.authorMansouri, A-
dc.contributor.authorAktas, E-
dc.date.accessioned2014-01-20T14:59:14Z-
dc.date.available2014-01-20T14:59:14Z-
dc.date.issued2012-
dc.identifier.citation43rd Decision Sciences Institute Annual Meeting, San Francisco, California, USA, 2012en_US
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/7917-
dc.description.abstractAn optimization-based decision support is proposed for trade-off analysis between makespan, a measure of service and energy consumption, a measure of sustainability in a two machine flowshop scheduling problem. A MIP model is developed and a MOGA to find Pareto fronts to support informed decision making by operations managers.en_US
dc.language.isoenen_US
dc.publisherDecision Sciences Instituteen_US
dc.subjectSustainable operations managementen_US
dc.subjectdecision support systemsen_US
dc.subjectSchedulingen_US
dc.subjectMulti-Objective Genetic Algorithms (MOGA)en_US
dc.subjectPareto fronten_US
dc.titleTowards green scheduling: A decision support for trade-off analysis between makespan and energy consumptionen_US
dc.typeArticleen_US
dc.identifier.doihttp://citation.allacademic.com/meta/p605064_index.html-
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
Brunel Business School Research Papers

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