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dc.contributor.authorKirkizlar, Huseyin Eseren_US
dc.date.accessioned2009-01-22T15:55:27Z
dc.date.available2009-01-22T15:55:27Z
dc.date.issued2008-08-25en_US
dc.identifier.urihttp://hdl.handle.net/1853/26668
dc.description.abstractThis thesis focuses on increasing the efficiency of systems with cross-trained workforce and finite storage spaces. Our objective is to maximize the throughput and minimize the setup costs (if they exist). More specifically, we are interested in determining effective cross-training strategies and dynamic server assignment policies for flexible servers in production lines with finite buffers. In the first part of this thesis, we study non-Markovian systems and support the conjecture that effective server assignment policies are robust to service time distributions. Next, we consider understaffed tandem lines with partially or fully flexible servers, determine optimal and heuristic server assignment policies, and show that most of the benefits of full flexibility can be achieved with limited flexibility. Finally, we incorporate the setups to our model, determine the optimal server assignment policy for some systems and show how the effective assignment of servers depends on the magnitude of the setup costs.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectMarkov decision processesen_US
dc.subjectQueueing systemsen_US
dc.subjectProduction engineeringen_US
dc.subjectFlexible workforceen_US
dc.subjectStochastic processesen_US
dc.subject.lcshFlexible work arrangements
dc.subject.lcshQueuing theory
dc.subject.lcshEmployees Training of
dc.titlePerformance improvements through flexible workforceen_US
dc.typeDissertationen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentIndustrial and Systems Engineeringen_US
dc.description.advisorCommittee Co-Chair: Hayriye Ayhan; Committee Co-Chair: Sigrun Andradottir; Committee Member: David M. Goldsman; Committee Member: Douglas G. Down; Committee Member: Robert D. Foleyen_US


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