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dc.contributor.advisorMorton, David P.
dc.contributor.authorGoggins, David A.
dc.dateSeptember 1995
dc.date.accessioned2013-08-13T22:06:44Z
dc.date.available2013-08-13T22:06:44Z
dc.date.issued1995-09
dc.identifier.urihttp://hdl.handle.net/10945/35137
dc.description.abstractThis thesis is a continuation of optimization modeling research conducted at the Naval Postgraduate School for the U.S. Air Force Studies and Analyses Agency. That work resulted in Throughput II, a multi-period model for determining the maximum on-time throughput of cargo and passengers that can be transported with a given fleet over a given network, subject to appropriate physical and policy constraints. This and other existing deterministic strategic airlift models assume all data are known prior to making a decision; often times these assumptions are unrealistic. One such assumption is aircraft reliability. This thesis addresses the uncertainty of aircraft reliability, which, if ignored, can result in models that are overly optimistic with respect to throughput capability. To address this issue, this thesis adds a stochastic extension to Throughput II, resulting in a two-stage stochastic linear program with recourse that is solved using Benders decomposition. To analyze the stochastic program, a simulation model of the strategic airlift system is also developed. This simulation model allows the user to analyze the deterministic and stochastic models and to compare solutions. The stochastic model, in addition to the features of Throughput II, accomplishes the following: (1) selection of aircraft routes by anticipating potential bottlenecks in the system, (2) prevents unreliable aircraft from using capacity limited airfields and (3) a flow of cargo from origin to destination that is not interrupted by the random events of aircraft reliability.en_US
dc.description.urihttp://archive.org/details/stochasticmodeli1094535137
dc.format.extent139 p.en_US
dc.language.isoen_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, may not be copyrighted.en_US
dc.titleStochastic modeling for airlift mobilityen_US
dc.typeThesisen_US
dc.contributor.departmentOperations Research
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceU.S. Navy (U.S.N.) author.en_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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