Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/2935
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dc.contributor.authorBüyüközkan, Kadir-
dc.contributor.authorBaysal, Mehmet Emin-
dc.contributor.authorYalçın, Cahit-
dc.contributor.authorSarucan, Ahmet-
dc.date.accessioned2022-10-08T20:48:59Z-
dc.date.available2022-10-08T20:48:59Z-
dc.date.issued2022-
dc.identifier.isbn9783031091728-
dc.identifier.issn2367-3370-
dc.identifier.urihttps://doi.org/10.1007/978-3-031-09173-5_99-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/2935-
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022 -- 19 July 2022 through 21 July 2022 -- 280209en_US
dc.description.abstractA major challenge facing manufacturing companies is working together on scheduling and maintenance activities. The machine shuts down for various reasons, which causes disturbances in production schedules. These problems are often overlooked in research. This study deals with the problem of the periodical maintenance of a single machine, which is subject to the constraints of the periodic availability of the machine. A new solution method is suggested for the problem with an ABC (Artificial Bee Colony) algorithm. As far as we know, this is the first study to address the issue of periodic maintenance of a single machine using the ABC algorithm. An operation-based sequence of sequential integers is adopted to solve it using the ABC algorithm. To update the array, the solution with the highest ordinal value is replaced by a non-dominant solution in each particular cycle. The efficiency of the ABC has been demonstrated by the use of sample sets. Altogether, 500 problems have been solved. For comparison purposes, the relative percentage difference for each sample was computed. The results of these calculations indicate that the proposed method is very satisfying. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Bee Colony algorithmen_US
dc.subjectPeriodic maintenanceen_US
dc.subjectSingle machine schedulingen_US
dc.titleA Meta-heuristic Approach to the Single Machine Scheduling Problem with Periodic Maintenanceen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1007/978-3-031-09173-5_99-
dc.identifier.scopus2-s2.0-85135031756en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.identifier.volume504 LNNSen_US
dc.identifier.startpage864en_US
dc.identifier.endpage869en_US
dc.identifier.wosWOS:000889380800099en_US
dc.institutionauthorBaysal, Mehmet Emin-
dc.institutionauthorYalçın, Cahit-
dc.institutionauthorSarucan, Ahmet-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid55902625100-
dc.authorscopusid56007700700-
dc.authorscopusid57822627700-
dc.authorscopusid54405086400-
dc.identifier.scopusqualityQ4-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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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