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dc.contributor.advisorSabuncuoğlu, İhsan
dc.contributor.authorÇömlekçi, Abdullah
dc.date.accessioned2016-01-08T20:13:02Z
dc.date.available2016-01-08T20:13:02Z
dc.date.issued1996
dc.identifier.urihttp://hdl.handle.net/11693/17746
dc.descriptionAnkara : The Department of Industrial Engineering and the Institute of Engineering and Science of Bilkent Univ., 1996.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1996.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractIn the scheduling literature, estimation of job flowtimes has always been an important issue since the late sixties. The previous studies focus on the problem in the context of due date assignment and develop methods using aggregate information in the estimation process. In this study, we propose a new method which utilizes the job, shop and route information on an operational basis. The performance of the proposed method is measured using a simulation model. It is also compared with the existing methods for a wide variety of performance measures under various experimental conditions.en_US
dc.description.statementofresponsibilityÇömlekçi, Abdullahen_US
dc.format.extentxvii, 161 leavesen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFlowtime Estimationen_US
dc.subjectDue Date Assignmenten_US
dc.subjectSimulationen_US
dc.subjectJob Shop Schedulingen_US
dc.subject.lccTS157.5 .C66 1996en_US
dc.subject.lcshScheduling (Management)--Mathematical models.en_US
dc.subject.lcshJob shops.en_US
dc.subject.lcshProduction scheduling.en_US
dc.titleFlowtime estimation in dynamic job shopsen_US
dc.typeThesisen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


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