Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time

dc.contributor.author Hande Oztop
dc.contributor.author M. Fatih Tasgetiren
dc.contributor.author Deniz Tursel Eliiyi
dc.contributor.author Quan-Ke Pan
dc.contributor.author Tasgetiren, M. Fatih
dc.contributor.author Fatih Tasgetiren, M.
dc.contributor.author Oztop, Hande
dc.contributor.author Pan, Quan-Ke
dc.contributor.author Türsel Eliiyi, Deniz
dc.contributor.author Eliiyi, Deniz Tursel
dc.contributor.editor DS Huang
dc.contributor.editor MM Gromiha
dc.contributor.editor K Han
dc.contributor.editor A Hussain
dc.coverage.spatial 14th International Conference on Intelligent Computing (ICIC)
dc.date.accessioned 2025-10-06T16:21:12Z
dc.date.issued 2018
dc.description.abstract Permutation flow shop scheduling problem (PFSP) is a well-known problem in the scheduling literature. Even though many multi-objective PFSPs are presented in the literature with the objectives related to production efficiency and customer satisfaction studies considering energy consumption and environmental effects in scheduling is very seldom. In this paper the trade-off between total energy consumption (TEC) and total flow time is investigated in a PFSP environment where the machines are assumed to operate at varying speed levels. A multi-objective mixed integer linear programming model is proposed based on a speed-scaling strategy. Due to the NP-complete nature of the problem an efficient multi-objective iterated greedy (IGALL) algorithm is also developed. The performance of IGALL is compared with model performance in terms of quality and cardinality of the solutions.
dc.description.sponsorship IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
dc.identifier.doi 10.1007/978-3-319-95957-3_79
dc.identifier.isbn 978-3-319-95957-3, 978-3-319-95956-6
dc.identifier.isbn 9783319959573
dc.identifier.isbn 9783319959566
dc.identifier.issn 0302-9743
dc.identifier.issn 1611-3349
dc.identifier.scopus 2-s2.0-85051847462
dc.identifier.uri http://dx.doi.org/10.1007/978-3-319-95957-3_79
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/6756
dc.identifier.uri https://doi.org/10.1007/978-3-319-95957-3_79
dc.language.iso English
dc.publisher SPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.ispartof 14th International Conference on Intelligent Computing (ICIC)
dc.relation.ispartofseries Lecture Notes in Artificial Intelligence
dc.rights info:eu-repo/semantics/closedAccess
dc.source INTELLIGENT COMPUTING METHODOLOGIES ICIC 2018 PT III
dc.subject Permutation Flowshop Scheduling, Energy efficient scheduling, Multi-objective optimization, Iterated greedy algorithm, Heuristic optimization
dc.subject ALGORITHM, MAKESPAN
dc.subject Permutation Flowshop Scheduling
dc.subject Multi-Objective Optimization
dc.subject Iterated Greedy Algorithm
dc.subject Heuristic Optimization
dc.subject Energy Efficient Scheduling
dc.title Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time
dc.type Conference Object
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gdc.author.id Pan, QUAN-KE/0000-0002-5022-7946
gdc.author.id Tasgetiren, Mehmet Fatih/0000-0002-5716-575X
gdc.author.id Türsel Eliiyi, Deniz/0000-0001-7693-3980
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gdc.author.wosid Türsel Eliiyi, Deniz/J-9518-2014
gdc.author.wosid Pan, QUAN-KE/F-2019-2013
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gdc.description.departmenttemp [Oztop, Hande; Eliiyi, Deniz Tursel] Yasar Univ, Dept Ind Engn, Bornova, Turkey; [Tasgetiren, M. Fatih] Yasar Univ, Dept Int Logist Management, Bornova, Turkey; [Pan, Quan-Ke] Huazhong Univ Sci & Technol, State Key Lab, Wuhan, Hubei, Peoples R China
gdc.description.endpage 759
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 753
gdc.description.volume 10956
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
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gdc.opencitations.count 12
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gdc.virtual.author Türsel Eliiyi, Deniz
gdc.virtual.author Taşgetiren, Mehmet Fatih
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person.identifier.orcid Tasgetiren- M. Fatih/0000-0001-8625-3671, Tursel Eliiyi- Deniz/0000-0001-7693-3980, Pan- QUAN-KE/0000-0002-5022-7946, Tasgetiren- Mehmet Fatih/0000-0002-5716-575X,
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