Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5830
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dc.contributor.authorDemirtaş H. H.-
dc.contributor.authorGültekin H.-
dc.date.accessioned2021-09-11T15:20:16Z-
dc.date.available2021-09-11T15:20:16Z-
dc.date.issued2012en_US
dc.identifier.citation14th IFAC Symposium on Information Control Problems in Manufacturing, INCOM'12, 23 May 2012 through 25 May 2012, Bucharest, 92587en_US
dc.identifier.isbn9783902661982-
dc.identifier.issn1474-6670-
dc.identifier.urihttps://doi.org/10.3182/20120523-3-RO-2023.00093-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5830-
dc.description.abstractWe consider a flowshop with m machines each of which perform a specific operation of the identical parts to be processed. Two specific adjacent machines among all machines are capable of performing an additional operation required by each part, which is named as the flexible operation. The problem is to decide on the machine to perform this flexible operation for each of the n parts to be processed. The assignment can be different from one part to another. Therefore, although the parts are identical, their actual processing times on the machines can be different from each other. The objective is to minimize the makespan. One application of such production systems can be found in metal cutting industries where highly flexible CNC machines are used. These machines are capable of performing different operations as long as the required cutting tools are loaded on the tool magazines. Similar problems also exist in assembly lines with human operators where the workers are cross-trained. We first formulate the problem as a mixed integer program and determine some properties of the optimal solutions. We identify some special cases of the problem where it can be solved trivially. For the remaining cases we develop a heuristic algorithm and test the efficiency of this algorithm through a computational study. The results of this analysis indicate that the developed heuristic is very efficient in terms of both solution quality and the required CPU time. © 2012 IFAC.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştirma Kurumu: 110M489en_US
dc.description.sponsorshipet al.;IFAC Technical Committee - TC1.3;IFAC Technical Committee - TC2.4;IFAC Technical Committee - TC4.2;IFAC Technical Committee - TC4.3;TC5.1 - Manufacturing Plant Controlen_US
dc.language.isoenen_US
dc.publisherIFAC Secretariaten_US
dc.relation.ispartofIFAC Proceedings Volumes (IFAC-PapersOnline)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFlexible manufacturing systems (FMS)en_US
dc.subjectLine design and balancingen_US
dc.subjectScheduling heuristicsen_US
dc.titleMinimizing the Makespan in Flowshops With Flexible Operationsen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume14en_US
dc.identifier.issuePART 1en_US
dc.identifier.startpage1366en_US
dc.identifier.endpage1370en_US
dc.identifier.scopus2-s2.0-84866083754en_US
dc.institutionauthorGültekin, Hakan-
dc.identifier.doi10.3182/20120523-3-RO-2023.00093-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference14th IFAC Symposium on Information Control Problems in Manufacturing, INCOM'12en_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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