dc.contributor.advisor | Yetiş, Bahar | |
dc.contributor.author | Özbay, Eren | |
dc.date.accessioned | 2018-07-03T13:31:52Z | |
dc.date.available | 2018-07-03T13:31:52Z | |
dc.date.copyright | 2018-06 | |
dc.date.issued | 2018-06 | |
dc.date.submitted | 2018-07-03 | |
dc.identifier.uri | http://hdl.handle.net/11693/47676 | |
dc.description | Cataloged from PDF version of article. | en_US |
dc.description | Thesis (M.S.): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2018. | en_US |
dc.description | Includes bibliographical references (leaves 89-96). | en_US |
dc.description.abstract | In 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.statementofresponsibility | by Eren Özbay. | en_US |
dc.format.extent | xiv, 107 leaves : illustrations (some color) ; 30 cm. | en_US |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Shelter Site Location | en_US |
dc.subject | Secondary Disasters | en_US |
dc.subject | Multi-Stage Stochastic Programming | en_US |
dc.subject | Conditional Value-at-Risk | en_US |
dc.subject | Multi Objective Programming | en_US |
dc.title | Stochastic shelter site location under multi-hazard scenarios | en_US |
dc.title.alternative | Çoklu afetlerin yönetimi: rassal talep altında çadırkent yer seçimi problemi | en_US |
dc.type | Thesis | en_US |
dc.department | Department of Industrial Engineering | en_US |
dc.publisher | Bilkent University | en_US |
dc.description.degree | M.S. | en_US |
dc.identifier.itemid | B158613 | |