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dc.contributor.advisorDinçer, Cemalen_US
dc.contributor.authorDaşçı, Abdullahen_US
dc.date.accessioned2016-01-08T20:12:48Z
dc.date.available2016-01-08T20:12:48Z
dc.date.issued1995
dc.identifier.urihttp://hdl.handle.net/11693/17716
dc.descriptionAnkara : Department of Industrial Engineering and the Institute of Engineering and Science of Bilkent University, 1995.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1995.en_US
dc.descriptionIncludes bibliographical references leaves 92-95.en_US
dc.description.abstractPolling models are special kinds of queueing models where multiple-customer type single-stage is considered. In this thesis, first an overview and a classification of polling models will be given. Then two-costomer one server M /M /l polling models will be analyzed and the performance of models will be developed for exhaustive, gated, and G-limited service policies. We give analytical methods for a special type of polling model where we solve the system to get mean queue lengths and thruput rates by three methods. The first one is based on solving the steady state distribution of the Markov Process. The second is a decompositon aiming to decrease the size of the problem. The third one is an approximation method that uses the earlier results and it is very accurate. The thesis will be concluded with possible future extensions.en_US
dc.description.statementofresponsibilityDaşçı, Abdullahen_US
dc.format.extentxiii, 123 leavesen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMarkov Processesen_US
dc.subjectQueueing Theoryen_US
dc.subjectRegenerative Processesen_US
dc.subjectPolling Modelsen_US
dc.subjectPerformance Evaluationen_US
dc.subjectClassificationen_US
dc.subject.lccT57.9 .D37 1995en_US
dc.subject.lcshQueuing theory.en_US
dc.subject.lcshMarkov processes.en_US
dc.titleM/M/1 polling models with two finite queuesen_US
dc.typeThesisen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


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