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dc.contributor.advisorOlivier de Weck.en_US
dc.contributor.authorHooker, Benjamin J. (Benjamin Jacob)en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2017-06-21T18:21:00Z
dc.date.available2017-06-21T18:21:00Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/110135
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, 2017.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 51-53).en_US
dc.description.abstractThe US Army pours a multitude of time and resources to ensure a combat brigade is ready to deploy to a theater of combat and has established two premiere training sites in the US for that purpose. In contrast, homestation units do not have a dedicated opposing force unit and must therefore resource from within to maximize effective and efficient training prior to their deployment to one of the Army's two top training facilities. It is imperative that brigades develop processes to enable better training, resource management, and can expeditiously achieve a training objective in preparation for deployment. This thesis uses available systems tools to build a network of the 4 TH Infantry Division mission readiness exercise conducted in June of 2015, provide graphical depictions of the system itself, and seeks to find an optimum solution for both operating costs and time. Through the application of multicommodity modeling, a decrease of time and operating cost was achieved, 11.04% and 25.85% respectively. Additionally, future work may discover further benefits to increase resource management and speed of execution via the multicommodity flow modeling during the planning phase of a brigade-size training exercise. The analysis conducted in this thesis is meant to enhance the military decision making process and cannot replace the requisite critical thinking required by planners at the brigade level and above.en_US
dc.description.statementofresponsibilityby Benjamin J. Hooker.en_US
dc.format.extent53, a-8 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering and Management Program.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleA Systems approach to planning large training operations for Army Units : visualization and optimization of multicommodity networksen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering and Management Programen_US
dc.contributor.departmentSystem Design and Management Program.en_US
dc.identifier.oclc987217818en_US


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