Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1647
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dc.contributor.authorBaysal, Mehmet Emin-
dc.contributor.authorSarucan, Ahmet-
dc.contributor.authorBüyüközkan, Kadir-
dc.contributor.authorEngin, Orhan-
dc.date.accessioned2022-01-30T17:32:50Z-
dc.date.available2022-01-30T17:32:50Z-
dc.date.issued2022-
dc.identifier.issn10641246-
dc.identifier.urihttps://doi.org/10.3233/JIFS-2191202-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1647-
dc.description.abstractThe distributed permutation flow shop scheduling (DPFSS) is a permutation flow shop scheduling problem including the multi-factory environment. The processing times of the jobs in a real life scheduling problem cannot be precisely know because of the human factor. In this study, the process times and due dates of the jobs are considered triangular and trapezoidal fuzzy numbers for DPFSS environment. An artificial bee colony (ABC) algorithm is developed to solve the multi-objective distributed fuzzy permutation flow shop (DFPFS) problem. First, the proposed ABC algorithm is calibrated with the well-known DPFSS instances in the literature. Then, the DPFSS instances are fuzzified and solved with the algorithm. According to the results, the proposed ABC algorithm performs well to solve the DFPFS problems. © 2022 - IOS Press. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherIOS Press BVen_US
dc.relation.ispartofJournal of Intelligent and Fuzzy Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectagreement indexen_US
dc.subjectartificial bee colonyen_US
dc.subjectDistributed fuzzy permutation flow-shopen_US
dc.subjectfuzzy completion timeen_US
dc.subjectmulti-objectiveen_US
dc.subjectFuzzy setsen_US
dc.subjectMachine shop practiceen_US
dc.subjectSchedulingen_US
dc.subjectAgreement indexen_US
dc.subjectAlgorithm for solvingen_US
dc.subjectBee colony algorithmsen_US
dc.subjectDistributed fuzzy permutation flow-shopen_US
dc.subjectFlow shop problemsen_US
dc.subjectFlow shop scheduling problemen_US
dc.subjectFuzzy completion timeen_US
dc.subjectMulti objectiveen_US
dc.subjectPermutation flow-shop schedulingen_US
dc.subjectPermutation flowshopsen_US
dc.subjectOptimizationen_US
dc.titleArtificial bee colony algorithm for solving multi-objective distributed fuzzy permutation flow shop problemen_US
dc.typeArticleen_US
dc.identifier.doi10.3233/JIFS-2191202-
dc.identifier.scopus2-s2.0-85122814147en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.identifier.volume42en_US
dc.identifier.issue1en_US
dc.identifier.startpage439en_US
dc.identifier.endpage449en_US
dc.identifier.wosWOS:000741363900033en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid56007700700-
dc.authorscopusid54405086400-
dc.authorscopusid55902625100-
dc.authorscopusid55948252100-
dc.identifier.scopusqualityQ2-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
crisitem.author.dept02.09. Department of Industrial Engineering-
crisitem.author.dept02.09. Department of Industrial Engineering-
crisitem.author.dept02.09. Department of Industrial Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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