Organ transplantation logistics: a case for Turkey

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buir.contributor.authorKara, Bahat Y.
dc.citation.epage356en_US
dc.citation.spage327en_US
dc.citation.volumeNumber41en_US
dc.contributor.authorSavaşer, S.en_US
dc.contributor.authorKınay, Ö. B.en_US
dc.contributor.authorKara, Bahat Y.en_US
dc.contributor.authorCay, P.en_US
dc.date.accessioned2019-02-21T16:06:10Z
dc.date.available2019-02-21T16:06:10Z
dc.date.issued2019en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractLogistics is one of the key elements of organ transplantation operations. In this study, maximizing the potential compatible donor-recipient matches within the cold ischemia time bounds (duration that an organ can survive without blood supply) is the main problem that is addressed. While addressing this problem, the effects of clustering structures on the potential organ matches are investigated. We analyze Turkey’s organ transplantation logistics structure based on its dynamics and provide new mathematical models for maximizing potential-weighted intra-regional organ transplantation flow via evaluating different types of transportation modes while meeting the specified time bounds. This approach considers only maximizing the potential flow within a single time bound, so that it may not perform effectively for every organ type. To remedy this situation, another mathematical model that maximizes the potential flow of multiple organ types has also been developed. Additionally, in order to evaluate the performance of our results, using the outputs of the deterministic mathematical models, we developed a simulation model to mimic the uncertain environment realistically while being able to model the components of hierarchical systems. Extensive computational analysis using a variety of performance measures has revealed that Turkey’s organ transplantation network can be improved by re-clustering.
dc.description.provenanceMade available in DSpace on 2019-02-21T16:06:10Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018en
dc.identifier.doi10.1007/s00291-018-0538-y
dc.identifier.issn0171-6468
dc.identifier.urihttp://hdl.handle.net/11693/50295
dc.language.isoEnglish
dc.publisherSpringer Verlag
dc.relation.isversionofhttps://doi.org/10.1007/s00291-018-0538-y
dc.source.titleOR Spectrumen_US
dc.subjectHierarchical allocationen_US
dc.subjectLocationen_US
dc.subjectOR in health servicesen_US
dc.subjectOrgan transplantation logisticsen_US
dc.titleOrgan transplantation logistics: a case for Turkeyen_US
dc.typeArticleen_US

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