Stochastic shelter site location under multi-hazard scenarios

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buir.advisorYetiş, Bahar
dc.contributor.authorÖzbay, Eren
dc.date.accessioned2018-07-03T13:31:52Z
dc.date.available2018-07-03T13:31:52Z
dc.date.copyright2018-06
dc.date.issued2018-06
dc.date.submitted2018-07-03
dc.departmentDepartment of Industrial Engineeringen_US
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 89-96).en_US
dc.description.abstractIn some cases, natural disasters happen successively (e.g. a tsunami following an earthquake) in close proximity of each other, even if they are not correlated. This study locates shelter sites and allocates the a ected population to the established set of shelters by considering the aftershock(s) following the initial earthquake, via a three-stage stochastic mixed-integer programming model. In each stage, before the uncertainty, which is the number of a ected people, in the corresponding stage is resolved, shelters are established, and after the uncertainty is resolved, a ected population is allocated to the established set of shelters. To manage the inherent risk related to the uncertainty, conditional value-atrisk is utilized as a risk measure in allocation of victims to the established set of shelters. Computational results on the Istanbul dataset are presented to emphasize the necessity of considering secondary disaster(s), along with a heuristic method to improve the solution times and qualities. During these computational analyses, it is observed that the original single-objective model poses some obstacles in parameter selection. As in humanitarian operations, choosing parameters may cause con ict of interests and hence may be criticized, a multi-objective framework is developed with various formulations. Some generalizations regarding the performance and applicability of the developed formulations are discussed and nally, another heuristic for the multi-objective formulation is presented to tackle the curse of dimensionality and improve the solution times.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityby Eren Özbay.en_US
dc.format.extentxiv, 107 leaves : illustrations (some color) ; 30 cm.en_US
dc.identifier.itemidB158613
dc.identifier.urihttp://hdl.handle.net/11693/47676
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectShelter Site Locationen_US
dc.subjectSecondary Disastersen_US
dc.subjectMulti-Stage Stochastic Programmingen_US
dc.subjectConditional Value-at-Risken_US
dc.subjectMulti Objective Programmingen_US
dc.titleStochastic shelter site location under multi-hazard scenariosen_US
dc.title.alternativeÇoklu afetlerin yönetimi: rassal talep altında çadırkent yer seçimi problemien_US
dc.typeThesisen_US

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