Multi-objective optimization of energy-efficient production schedules using genetic algorithms

dc.contributor.authorKüster, Tobias
dc.contributor.authorRayling, Philipp
dc.contributor.authorWiersig, Robin
dc.contributor.authorPardo, Francisco Denis Pozo
dc.date.accessioned2022-10-04T09:45:11Z
dc.date.available2022-10-04T09:45:11Z
dc.date.issued2021-10-04
dc.description.abstractThe optimization of production schedules to be more energy efficient while still meeting production goals is a difficult task: How to schedule and distribute production tasks to meet production goals, while making best use of fluctuating energy market prices and availability of locally installed energy sources? Although a large body of related work exists in this domain, most of those seem to focus on individual aspects and not the whole picture. In this paper, a genetic algorithm for optimization of production schedules with respect to energy consumption, peak shaving, and makespan is presented, that also takes into account that tasks can be performed in different ways, having different characteristics. The algorithm has been successfully employed within the SPEAR project by applying it for optimization of an automotive production line and for the pathway of an automated guided vehicle.en
dc.description.sponsorshipTU Berlin, Open-Access-Mittel – 2021en
dc.description.sponsorshipBMBF, 01IS17024G, Verbundprojekt: SPEAR - Smart Prognosis of Energy with Allocation of Resourcesen
dc.description.sponsorshipBMBF, 01IS17024H, Verbundprojekt: SPEAR - Smart Prognosis of Energy with Allocation of Resourcesen
dc.identifier.eissn1573-2924
dc.identifier.issn1389-4420
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/17023
dc.identifier.urihttps://doi.org/10.14279/depositonce-15802
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.otherindustrial optimizationen
dc.subject.othergenetic algorithmsen
dc.subject.otherenergy modelingen
dc.subject.otherschedule optimizationen
dc.titleMulti-objective optimization of energy-efficient production schedules using genetic algorithmsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1007/s11081-021-09691-3en
dcterms.bibliographicCitation.journaltitleOptimization and Engineeringen
dcterms.bibliographicCitation.originalpublishernameSpringer Natureen
dcterms.bibliographicCitation.originalpublisherplaceHeidelbergen
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Wirtschaftsinformatik und Quantitative Methoden::FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)de
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)de
tub.affiliation.instituteInst. Wirtschaftsinformatik und Quantitative Methodende
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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