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dc.contributor.advisorKarsu, Özlem
dc.contributor.authorDilaver, Halit Metehan
dc.date.accessioned2018-09-11T12:13:00Z
dc.date.available2018-09-11T12:13:00Z
dc.date.copyright2018-09
dc.date.issued2018-09
dc.date.submitted2018-09-09
dc.identifier.urihttp://hdl.handle.net/11693/47859
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2018.en_US
dc.descriptionIncludes bibliographical references (leaves 55-58).en_US
dc.description.abstractBlood bank operations are complex affairs since they involve supply chain management of highly perishable goods such as whole blood and blood products. The Turkish Red Crescent (TRC), who is the main responsible organization in Turkey for collection, testing, separation and distribution of whole blood and blood products, is in constant need of optimizing its operational decisions. We propose a mathematical modeling approach for managing the blood bank operations in the TRC that include the decisions of donation collection, production and distribution to demand points (hospitals). The model minimizes system cost while ensuring maximum level of demand satisfaction. For this purpose, a lexicographic approach is used that first determines the maximum amount of demand that can be satisfied and then solves a cost minimization model, which is a linear mixed-integer programming model. Observing that it may not be possible to find the optimal solution of this model in reasonable time for some real-life problem sizes, we develop a customized heuristic approach for the problem. We demonstrate that the heuristic algorithm provides good quality solutions in negligible time through computational experiments. We finally examine a bi-objective extension of the cost minimization problem, where the quality of the separated blood product is considered alongside system cost. We solve the resulting bi-objective programming problems using the Ɛ- Constraint Method. This extension allows the decision maker to observe the trade-off between cost and quality and implement her most preferred solution among the non-dominated solutions.en_US
dc.description.statementofresponsibilityby Halit Metehan Dilaver.en_US
dc.format.extentx, 60 leaves : illustrations, map (some color) ; 30 cm.en_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBlood Bank Operationsen_US
dc.subjectBlood Plateletsen_US
dc.subjectBi-objective Optimizationen_US
dc.subjectEpsilon Constraint Methoden_US
dc.titleA mathematical modeling approach for managing regional blood bank operationsen_US
dc.title.alternativeBölgesel kan bankası operasyonlarının yönetimi için matematiksel modelleme yaklaşımıen_US
dc.typeThesisen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB158929
dc.embargo.release2020-09-07


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