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dc.contributor.advisorYetiş, Bahar
dc.contributor.authorAğlar, Buse Eylül Oruç
dc.date.accessioned2018-08-01T09:59:48Z
dc.date.available2018-08-01T09:59:48Z
dc.date.copyright2018-06
dc.date.issued2018-07
dc.date.submitted2018-07-12
dc.identifier.urihttp://hdl.handle.net/11693/47707
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 78-86).en_US
dc.description.abstractPost-disaster assessment operations constitute the basis for the operations conducted in the response phase of the disaster management. Through the assessment of the road segments, the extent of damage and the amount of debris will be determined, and debris removal operations will benefit from this assessment. Via assessing the damage at the population centers, the needs of the affected area will be determined and the distribution of relief supplies will be made accordingly. Hence, the damage assessment allows disaster management operation coordinators to determine immediate actions necessary to respond to the effects of the disaster with the effective use of resources for alleviating human suffering. In this study, we propose a post-disaster assessment strategy as part of response operations in which effective and fast relief routing are of utmost importance. In particular, the road segments and the population points to perform assessment activities on are selected based on the value they add to the consecutive response operations. To this end, we develop a bi-objective mathematical model that utilizes a heterogeneous vehicle set. The proposed model for disaster assessment considers motorcycles, which can be utilized under off-road conditions, and/or unmanned-aerial-vehicles, drones. The first objective aims to maximize the total value added by the assessment of the road segments (arcs) whereas the second maximizes the total profit generated by assessing points of interests (nodes). Bi-objectivity of the problem is studied with the -constraint method. Since obtaining solutions as fast as possible is crucial in the post-disaster condition, heuristic methods are also proposed. To test the mathematical model and the heuristic methods, a data set belonging to Kartal district of Istanbul is useden_US
dc.description.statementofresponsibilityby Buse Eylül Oruç Çağlar.en_US
dc.format.extentxii, 90 leaves : illustrations ; 30 cm.en_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDisaster Managementen_US
dc.subjectHumanitarian Logisticsen_US
dc.subjectBi-Objectiveen_US
dc.subjectGeneral Routingen_US
dc.titlePost-disaster assessment routing problemen_US
dc.title.alternativeAfet sonrası durum tespit araç rotalama problemien_US
dc.typeThesisen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB158623
dc.embargo.release2020-07-15


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