A new model based on Artificial Bee Colony algorithm for preventive maintenance with replacement scheduling in continuous production lines

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dc.authoridOzcan, Selcuk/0000-0001-5509-1534
dc.contributor.authorOzcan, Selcuk
dc.contributor.authorSimsir, Fuat
dc.date.accessioned2024-09-29T15:57:34Z
dc.date.available2024-09-29T15:57:34Z
dc.date.issued2019
dc.departmentKarabük Üniversitesien_US
dc.description.abstractRails are produced in continuous production lines and most of the equipment in this line are huge. Thus, preventive maintenance in these lines is performed by replacing the parts. Since the part replacement in this kind of production lines halts production, it decreases production outputs. An effective scheduling reduces the downtime to the lowest possible levels. In this study, we propose a replacement scheduling model for a rail production line. The replacement scheduling problem is discussed for 1349 parts annually. The problem was studied for the first time in the literature both in size and in the way, it was handled. A new model is proposed integrating Bin Packing solution method into the replacement scheduling problem assuming the replacements as an item. Bottom Left (BL) Bin Packing algorithm is used to assign the replacements in two solution methods. Firstly, the classical Time-Based Replacement (TBR) method was analysed and the downtime was calculated. Secondly, the Flexible Time-Based Replacement (FTBR) method was developed integrating Artificial Bee Colony (ABC) algorithm. When the results are examined for both solutions, FTBR provided a decrease of approximately 12% in downtime compared to TBR. This improvement means 21 328 tons of rail production. As a result, the proposed solution method can be easily applied for any replacement scheduling problem. (C) 2019 Karabuk University. Publishing services by Elsevier B.V.en_US
dc.identifier.doi10.1016/j.jestch.2019.08.003
dc.identifier.endpage1186en_US
dc.identifier.issn2215-0986
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85071864456en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1175en_US
dc.identifier.urihttps://doi.org/10.1016/j.jestch.2019.08.003
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4891
dc.identifier.volume22en_US
dc.identifier.wosWOS:000504059600002en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier - Division Reed Elsevier India Pvt Ltden_US
dc.relation.ispartofEngineering Science and Technology-An International Journal-Jestechen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectReplacement schedulingen_US
dc.subjectPreventive maintenanceen_US
dc.subjectBin Packingen_US
dc.subjectTime-based maintenanceen_US
dc.subjectRolling millen_US
dc.titleA new model based on Artificial Bee Colony algorithm for preventive maintenance with replacement scheduling in continuous production linesen_US
dc.typeArticleen_US

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