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Decision Support for Casualty Triage in Emergency Response

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dc.contributor.authorKamali, Behroozen
dc.contributor.committeechairBish, Douglas R.en
dc.contributor.committeememberGlick, Roger E.en
dc.contributor.committeememberZobel, Christopher W.en
dc.contributor.committeememberTaylor, G. Donen
dc.contributor.committeememberBish, Ebru K.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2017-10-27T06:00:37Zen
dc.date.available2017-10-27T06:00:37Zen
dc.date.issued2016-05-04en
dc.description.abstractMass-casualty incidents (MCI) cause a sudden increase in demand of medical resources in a region. The most important and challenging task in addressing an MCI is managing overwhelmed resources with the goal of increasing total number of survivors. Currently, most of the decisions following an MCI are made in an ad-hoc manner or by following static guidelines that do not account for amount of available resources and number of the casualties. The purpose of this dissertation is to introduce and analyze sophisticated service prioritization and resource allocation tools. These tools can be used to produce service order strategies that increase the overall number of survivors. There are several models proposed that account for number and mix of the casualties, and amount and type of the resources available. Large number of the elements involved in this problem makes the model very complex, and thus, in order to gain some insights into the structure of the optimal solutions, some of the proposed models are developed under simplifying assumptions. These assumptions include limitations on the number of casualty types, handling of deaths, servers, and types of resources. Under these assumptions several characteristics of the optimal policies are identified, and optimal algorithms for various scenarios are developed. We also develop an integrated model that addresses service order, transportation, and hospital selection. A comprehensive set of computational results and comparison with the related works in the literature are provided in order to demonstrate the efficacy of the proposed methodologies.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:7591en
dc.identifier.urihttp://hdl.handle.net/10919/79817en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectEmergency Managementen
dc.subjectOperations Researchen
dc.subjectMass Casualty Triageen
dc.titleDecision Support for Casualty Triage in Emergency Responseen
dc.typeDissertationen
thesis.degree.disciplineIndustrial and Systems Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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