Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6351
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dc.contributor.authorGültekin, Hakan-
dc.contributor.authorAktürk, M. Selim-
dc.contributor.authorKarasan, Oya Ekin-
dc.date.accessioned2021-09-11T15:35:58Z-
dc.date.available2021-09-11T15:35:58Z-
dc.date.issued2010en_US
dc.identifier.issn0305-0548-
dc.identifier.issn1873-765X-
dc.identifier.urihttps://doi.org/10.1016/j.cor.2009.06.025-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6351-
dc.description.abstractConsider a manufacturing cell of two identical CNC machines and a material handling robot. Identical parts requesting the completion of a number of operations are to be produced in a cyclic scheduling environment through a flow shop type setting. The existing studies in the literature overlook the flexibility of the CNC machines by assuming that both the allocation of the operations to the machines as well as their respective processing times are fixed. Consequently, the provided results may be either suboptimal or valid under unnecessarily limiting assumptions for a flexible manufacturing cell. The allocations of the operations to the two machines and the processing time of an operation on a machine can be changed by altering the machining conditions of that machine such as the speed and the feed rate in a CNC turning machine. Such flexibilities constitute the point of origin of the current study. The allocation of the operations to the machines and the machining conditions of the machines affect the processing times which, in turn, affect the cycle time. On the other hand, the machining conditions also affect the manufacturing cost. This study is the first to consider a bicriteria model which determines the allocation of the operations to the machines, the processing times of the operations on the machines, and the robot move sequence that jointly minimize the cycle time and the total manufacturing cost. We provide algorithms for the two 1-unit cycles and test their efficiency in terms of the solution quality and the computation time by a wide range of experiments on varying design parameters. (C) 2009 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofComputers & Operations Researchen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRobotic cellen_US
dc.subjectBicriteria schedulingen_US
dc.subjectCNCen_US
dc.subjectOperation allocationen_US
dc.titleBicriteria Robotic Operation Allocation in a Flexible Manufacturing Cellen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume37en_US
dc.identifier.issue4en_US
dc.identifier.startpage779en_US
dc.identifier.endpage789en_US
dc.authorid0000-0002-5416-3249-
dc.authorid0000-0003-0515-1644-
dc.identifier.wosWOS:000272058100016en_US
dc.identifier.scopus2-s2.0-70350571109en_US
dc.institutionauthorGültekin, Hakan-
dc.identifier.doi10.1016/j.cor.2009.06.025-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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