Analysis of a hospital call center

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buir.advisorSabuncuoğlu, İhsan
dc.contributor.authorBudak, Ezel Ezgi
dc.date.accessioned2016-01-08T18:19:15Z
dc.date.available2016-01-08T18:19:15Z
dc.date.issued2012
dc.descriptionAnkara : The Department of Industrial Engineering and the Graduate School of Engineering and Science of Bilkent University, 2012.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2012.en_US
dc.descriptionIncludes bibliographical refences.en_US
dc.description.abstractIn this thesis, we study the call center operations of a particular hospital located in Ankara, namely Güven Hospital. The hospital call center takes role as a medical consulting and appointment center and also domestic call traffic flows over the call center. These three types of calls are classified as consulting, appointment and domestic calls. The arriving call rate to the call center vary depending on hours and each agent is capable of giving service to each type of calls.( i.e. Agents are multitasking). Different types of calls have different exponential service time distributions. Regardless of call type calls may abandon during their waiting time in the call center. Abandonment rate and arrival rates of the calls are assumed to be exponential. Call center directs some percent of appointment calls to a doctor who gives service in the call center and some percent of consulting calls to hospital units depending on customers’ requests. A domestic call only receives service from the call center. Some percent of these diverted calls to doctor and hospital units return to call center. This diverting and returning process among call center, doctor and hospital units constitutes the call center network of the hospital. The aim of this study is to model this call center network as to reflect the properties of the analyzed system. Accordingly, the system is modeled with queuing network and simulation approaches. Different models are developed with different divert and return rates and different number of agents being multi-tasking or dedicated to give service to a specific call type. These models are compared in terms of systems performance metrics and related numerical analyses are reported.en_US
dc.description.provenanceMade available in DSpace on 2016-01-08T18:19:15Z (GMT). No. of bitstreams: 1 0006220.pdf: 1661217 bytes, checksum: e696332794412d733c248edf337ffd2e (MD5)en
dc.description.statementofresponsibilityBudak, Ezel Ezgien_US
dc.format.extentxiii, 66 leavesen_US
dc.identifier.itemidB133839
dc.identifier.urihttp://hdl.handle.net/11693/15484
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHospital Call Centeren_US
dc.subjectQueuingen_US
dc.subjectSimulationen_US
dc.subjectMulti-Type Customersen_US
dc.subject.lccHE8788 .B83 2012en_US
dc.subject.lcshCall centers--Management.en_US
dc.subject.lcshMedical emergencies.en_US
dc.subject.lcshAutomatic speech recognition.en_US
dc.subject.lcshOperations planning.en_US
dc.subject.lcshHealth services administration--data processing.en_US
dc.titleAnalysis of a hospital call centeren_US
dc.typeThesisen_US
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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