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dc.contributor.advisorKara, Bahar Y.en_US
dc.contributor.authorÇay, Pelinen_US
dc.date.accessioned2016-01-08T18:16:36Z
dc.date.available2016-01-08T18:16:36Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/11693/15311
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 references leaves 78-82.en_US
dc.description.abstractOrgan transplantation is one of the fundamental and effective treatment techniques for the patients who have critical health problems. However, while 3,930 organs were transplanted to the patients in 2011, there still exist 20,954 people waiting for a suitable organ as of April 2012 in Turkey. Even though the exact numbers are different; the situation of well developed countries like USA is not very different in terms of organ donation and patient ratio. Thus; matching - defined as finding the best recipient for a donated organ- is very crucial for the overall organ transplantation process. There are mainly two different ways of matching in the applications: centralized and hierarchical method. In the centralized method, all patients and donors are monitored and matching is coordinated centrally. In the hierarchical method, the matching process is coordinated via a bottom-up hierarchy. The application in Turkey is also hierarchical, coordinated by nine regional coordination centers and one national coordination center. Due to the nature of the matching application in Turkey, the cluster of each regional coordination center is crucial. There are many dynamics of the transplantation process like cold ischemia time -the duration that the organ survives without blood circulation-, operation times and specialized hospitals and teams. In this thesis, we study the organ transplantation logistics mainly focusing on the Turkish application. We provide mathematical models that consider the problem specific requirements like ischemia time. We also consider two-mode transportation since airplanes or helicopters are also used widely in organ transportation. Finally, we also developed a simulation model to observe the hierarchical nature of the system and to evaluate the performance of the mathematical model outputs. Both mathematical model and simulation model outcomes based on Turkish data were compared with actual regional coordination center locations of Turkey.en_US
dc.description.statementofresponsibilityÇay, Pelinen_US
dc.format.extentxi, 114 leaves, illustrationsen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHealthcare Systemsen_US
dc.subjectOrgan Transplantationen_US
dc.subjectMixed Integer Programmingen_US
dc.subject.lccWO660 .C39 2012en_US
dc.subject.lcshTransplantation of organs, tissues, etc.en_US
dc.subject.lcshDonation of organs, tissues, etc.en_US
dc.subject.lcshTransplantation.en_US
dc.subject.lcshOrgan Transplantation.en_US
dc.titleOrgan transplantation logistics : case for Turkeyen_US
dc.typeThesisen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


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