Show simple item record

dc.contributor.authorYildirim, Mehmet Bayram
dc.contributor.authorMouzon, Gilles C.
dc.identifier.citationYildirim, 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, 0en_US
dc.descriptionClick on the DOI link below to access the article (may not be free).en_US
dc.description.abstractEnergy 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.sponsorshipThis 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.publisherIEEE Technology Management Councilen_US
dc.relation.ispartofseriesIEEE Transactions on Engineering Management;vol.PP, no.99
dc.subjectDominance rulesen_US
dc.subjectEnergy efficient schedulingen_US
dc.subjectGreen manufacturingen_US
dc.subjectMultiple objective genetic algorithmen_US
dc.subjectSustainable engineeringen_US
dc.titleSingle-machine sustainable production planning to minimize total energy consumption and total completion time using a multiple objective genetic algorithmen_US
dc.description.versionPeer reviewed
dc.rights.holder© 2011 IEEE

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record