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dc.contributor.advisorEric Rebentisch and Joe Harbour.en_US
dc.contributor.authorMcCoy, Kathleen Marie, LCDRen_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2015-12-03T20:54:02Z
dc.date.available2015-12-03T20:54:02Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/100110
dc.descriptionThesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.en_US
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2015.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 92-95).en_US
dc.description.abstractContracting for US Navy ship procurement is complex due several factors such as budgetary and political concerns, sole or near sole source environments, and long lead-time construction. In the current climate of shrinking budgets, it is especially important to set programs up for financial success. One potential area for cost management improvement in acquisition programs is with the initial contract and incentive structure. If shipbuilding contracts could be described in engineering architectural terms, then perhaps that architecture could provide better clarity of contract options. Further, if contracting can be described as an engineering architecture, then perhaps that architecture could be optimized for a given result. These are the central questions of this thesis. To answer them, interviews were conducted with several experienced individuals from both industry and the government. Additionally, past shipbuilding contracts in both the US and Canada were examined. These insights were then used to form a contract architecture concept in accordance with the Tradespace engineering paradigm. From the concept definition came the design vector definition which included variables such as shareline definition, incentives, and contracted profit percentage. The tradespace was then populated by manipulating the design vector parameters. The Palisade tool [at]Risk was used to conduct the design vector manipulation and tradespace population. [at]Risk is an excel plug in that allows uncertain variables to be defined by probability distributions. The tradespace of contract outcomes was then evaluated against utilities such as cost, profit, and risk. Although the factors affecting the contracting environment are complex, and not all are modeled, quantitative modeling allows the architect to roughly evaluate different approaches, vice just basing the contract on past models. It also gives the government the ability to check whether shipbuilder furnished predicted costs are reasonable for a given contract structure.en_US
dc.description.statementofresponsibilityby Kathleen Marie McCoy.en_US
dc.format.extent95 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleDesign and analysis of US Navy shipbuilding contract architectureen_US
dc.title.alternativeDesign and analysis of United States Navy shipbuilding contract architectureen_US
dc.typeThesisen_US
dc.description.degreeNav. E.en_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentSystem Design and Management Program.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc929469966en_US


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