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Single-machine sustainable production planning to minimize total energy consumption and total completion time using a multiple objective genetic algorithm

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dc.contributor.author Yildirim, Mehmet Bayram
dc.contributor.author Mouzon, Gilles C.
dc.date.accessioned 2012-09-18T18:41:55Z
dc.date.available 2012-09-18T18:41:55Z
dc.date.issued 2011-11-18
dc.identifier.citation Yildirim, M. B.; Mouzon, G. "Single-Machine Sustainable Production Planning to Minimize Total Energy Consumption and Total Completion Time Using a Multiple Objective Genetic Algorithm," Engineering Management, IEEE Transactions on , vol.PP, no.99, pp.1-13, 0 en_US
dc.identifier.issn 0018-9391
dc.identifier.uri http://dx.doi.org/10.1109/TEM.2011.2171055
dc.identifier.uri http://hdl.handle.net/10057/5284
dc.description Click on the DOI link below to access the article (may not be free). en_US
dc.description.abstract Energy is an expensive resource that is becoming more scarce with increasing population and demand. In this paper, a mathematical model to minimize energy consumption and reduce total completion time of a single machine is proposed, and a multiobjective genetic algorithm is utilized to obtain an approximate set of nondominated alternatives. Furthermore, dominance rules and a heuristic are proposed to increase the speed of the proposed genetic algorithm. Finally, the analytical hierarchical process is utilized to select a solution with some additional criteria. en_US
dc.description.sponsorship This work was supported in part by the NSF CMMI 0946342 and in part by the Department of Energy under Grant DE-FG36-08GO88149 and Grant DE-FC36-06GO16075. en_US
dc.language.iso en_US en_US
dc.publisher IEEE Technology Management Council en_US
dc.relation.ispartofseries IEEE Transactions on Engineering Management;vol.PP, no.99
dc.subject Dominance rules en_US
dc.subject Energy efficient scheduling en_US
dc.subject Green manufacturing en_US
dc.subject Multiple objective genetic algorithm en_US
dc.subject Sustainable engineering en_US
dc.title Single-machine sustainable production planning to minimize total energy consumption and total completion time using a multiple objective genetic algorithm en_US
dc.type Article en_US
dc.description.version Peer reviewed
dc.rights.holder © 2011 IEEE

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