Energy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraints

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dc.contributor.authorMissaoui, Ahmeden
dc.contributor.authorOzturk, Cemalettinen
dc.contributor.authorO'Sullivan, Barryen
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2023-11-03T11:09:18Z
dc.date.available2023-11-03T11:09:18Z
dc.date.issued2023-07en
dc.description.abstractThe social context in relation to energy policies, energy supply, and sustainability concerns, as well as advances in more energy-efficient technologies is driving a need for a change in the manufacturing industry. In this paper, a hybrid ftowshop production system with blocking constraints is investigated from both sustainability and productivity dimensions. For an efficient solution to this proven NP-hard problem, we implemented a multi-objective iterated greedy algorithm first time to minimize the makespan and total energy consumption simultaneously. We provide small, medium, and large instances to benchmark our approach against non-dominated sorting genetic algorithm-II (NSGA-II) which shows efficiency of the proposed methodology.en
dc.description.sponsorshipScience Foundation Ireland (Insight Centre for Data Analytics IoT/TU collaboration, “Models and algorithms for energy efficient scheduling” project)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMissaoui, A., Ozturk, C. and O’Sullivan, B. (2023) ‘Energy-efficient multi-objective hybrid flowshop scheduling problem with blocking constraints’, in 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), Rome, Italy, 03-06 June. IEEE, (6 pp). https://doi.org/10.1109/CoDIT58514.2023.10284309en
dc.identifier.doi10.1109/codit58514.2023.10284309en
dc.identifier.eissn2576-3555en
dc.identifier.endpage6en
dc.identifier.isbn979-8-3503-1140-2en
dc.identifier.isbn979-8-3503-1139-6en
dc.identifier.issn2576-3547en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/15183
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartof2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 2/12/RC/2289-P2s/IE/INSIGHT Phase 2/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.relation.urihttps://doi.org/10.1109/CoDIT58514.2023.10284309en
dc.rights© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksen
dc.subjectMulti-objective iterated greedyen
dc.subjectHybrid flowshop scheduling with blocking constrainten
dc.subjectEnergy efficiencyen
dc.subjectMakespanen
dc.subjectNSGA-IIen
dc.subjectPareto fronten
dc.subjectProductivityen
dc.subjectManufacturing industriesen
dc.subjectGreedy algorithmsen
dc.subjectProduction systemsen
dc.subjectJob shop schedulingen
dc.subjectNP-hard problemen
dc.titleEnergy-Efficient Multi-Objective Hybrid Flowshop Scheduling Problem with Blocking Constraintsen
dc.typeArticle (peer-reviewed)en
dc.typeConference itemen
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