Analysis of a hospital call center
buir.advisor | Sabuncuoğlu, İhsan | |
dc.contributor.author | Budak, Ezel Ezgi | |
dc.date.accessioned | 2016-01-08T18:19:15Z | |
dc.date.available | 2016-01-08T18:19:15Z | |
dc.date.issued | 2012 | |
dc.description | Ankara : The Department of Industrial Engineering and the Graduate School of Engineering and Science of Bilkent University, 2012. | en_US |
dc.description | Thesis (Master's) -- Bilkent University, 2012. | en_US |
dc.description | Includes bibliographical refences. | en_US |
dc.description.abstract | In 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.provenance | Made available in DSpace on 2016-01-08T18:19:15Z (GMT). No. of bitstreams: 1 0006220.pdf: 1661217 bytes, checksum: e696332794412d733c248edf337ffd2e (MD5) | en |
dc.description.statementofresponsibility | Budak, Ezel Ezgi | en_US |
dc.format.extent | xiii, 66 leaves | en_US |
dc.identifier.itemid | B133839 | |
dc.identifier.uri | http://hdl.handle.net/11693/15484 | |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Hospital Call Center | en_US |
dc.subject | Queuing | en_US |
dc.subject | Simulation | en_US |
dc.subject | Multi-Type Customers | en_US |
dc.subject.lcc | HE8788 .B83 2012 | en_US |
dc.subject.lcsh | Call centers--Management. | en_US |
dc.subject.lcsh | Medical emergencies. | en_US |
dc.subject.lcsh | Automatic speech recognition. | en_US |
dc.subject.lcsh | Operations planning. | en_US |
dc.subject.lcsh | Health services administration--data processing. | en_US |
dc.title | Analysis of a hospital call center | en_US |
dc.type | Thesis | en_US |
thesis.degree.discipline | Industrial Engineering | |
thesis.degree.grantor | Bilkent University | |
thesis.degree.level | Master's | |
thesis.degree.name | MS (Master of Science) |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 0006220.pdf
- Size:
- 1.58 MB
- Format:
- Adobe Portable Document Format
- Description:
- Full printable version