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dc.contributor.advisorBryan R. Moser.
dc.contributor.authorCarson, Christopher E. (Christopher Everett)en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering and Management Program.en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.coverage.spatialn-us---en_US
dc.date.accessioned2021-10-08T17:10:24Z
dc.date.available2021-10-08T17:10:24Z
dc.date.copyright2021en_US
dc.date.issued2021en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/132880
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, February, 2021en_US
dc.descriptionCataloged from the official version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 193-199).en_US
dc.description.abstractThe United States no longer has the luxury of overspending on military weapon systems. Military programs have steadily cost more, taken longer, and delivered less. How can the Department of Defense reverse this trend? The Department of Defense prescribes the use of an Earned Value Management System (EVMS) to control large, complex engineering projects. According to academic literature, the earned value method can be an effective project control technique but also has significant flaws. Modern integrated project models allow for innovative new approaches to project control which may be superior to the earned value method. Department of Defense policy reveals that integrating cost, schedule, and scope; accurately forecasting project status to allow for proactive decision making; and effective risk mitigation are the most important features of a project control method. This thesis reviews earned value method research and Department of Defense EVMS policy. This thesis also evaluates four project control methods through an experiment that uses an integrated project model. Subject to the specific conditions represented in the model, a Multiple Risk Level model-based control method enabled more proactive decision making than a modified version of the earned value method in the experiment. However, the Multiple Risk Level model did not forecast or enable risk mitigation as well as the modified earned value method in the experiment. The results of this analysis suggest that the ideal project control technique depends on the goals, nature, and environment of the project. Therefore, the Department of Defense should use integrated project models to tailor project control strategies to best suit acquisition programs.en_US
dc.description.statementofresponsibilityby Christopher E. Carsonen_US
dc.format.extent199 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.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.titleAn integrated model-based approach to improving project control in Department of Defense acquisitionen_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.identifier.oclc1263356810en_US
dc.description.collectionS.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Programen_US
dspace.imported2021-10-08T17:10:24Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSysDesen_US


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