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dc.contributor.advisorSalmeron, Javier
dc.contributor.authorTean, Ee Shen.
dc.date.accessioned2012-03-14T17:35:08Z
dc.date.available2012-03-14T17:35:08Z
dc.date.issued2006-12
dc.identifier.urihttp://hdl.handle.net/10945/2419
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractRecent events in the United States of America and Pakistan have exposed the shortcomings of existing planning in relief and humanitarian assistance in the face of large-scale natural disasters. This thesis develops a two-stage stochastic optimization model to provide guidance in the pre-positioning of relief units and assets, where budget, physical limitations and logistics are taken into account. Stochastic data include the numbers of survivors in each potential affected area (AA), the amount of commodities that needs to be delivered to each AA and the transportation time from each relief location (which reflects sceanrios where, for example, roads are blocked). As first-stage decisions, we consider the expansion of warehouses, medical facilities and their health care personnel, as well as ramp space to facilitate aircraft supply of commodities to the AAs. The second-stage is a logistic problem respresented as a network, where maximizing expected rescued survivors and delivery of required commodities are the driving goals. This is accomplished through land, air and sea transportation means (e.g., CH-53 helicopters configured for rescue missions), as well as relief workers. The model has been successfully assessed on notional scenarios and is expected to be tested on realistic cases by personnel who are involved in relief planning.en_US
dc.description.urihttp://archive.org/details/optimizedpositio109452419
dc.format.extentxviii, 39 p. ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined
in Title 17, United States Code, Section 101. As such, it is in the
public domain, and under the provisions of Title 17, United States
Code, Section 105, is not copyrighted in the U.S.en_US
dc.subject.lcshDisaster reliefen_US
dc.subject.lcshNatural disastersen_US
dc.subject.lcshOperations researchen_US
dc.titleOptimized positioning of pre-disaster relief force and assetsen_US
dc.typeThesisen_US
dc.contributor.secondreaderLewis, Theodore G.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentOperations Research
dc.description.recognitionOutstanding Thesisen_US
dc.identifier.oclc80932326
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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