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dc.contributor.authorSmartt, Clement Douglasen_US
dc.date.accessioned2014-03-12T23:51:44Z
dc.date.available2014-03-12T23:51:44Z
dc.date.issued2014-03-12
dc.date.submittedJanuary 2013en_US
dc.identifier.otherDISS-12426en_US
dc.identifier.urihttp://hdl.handle.net/10106/24138
dc.description.abstractOrganizations whose primary business is executing contracts must be able to capture contracts to survive. When the contracts involve engineering complex systems, systems engineering often plays a significant role in the proposal process, sometimes leading the technical effort. This research seeks to find an optimal use of systems engineering in proposal management to maximize the probability that a supplier organization will be awarded contracts. A number of systems engineering related factors that can potentially be used to predict contract awards are identified that pertain to the organization, the skill levels of employees, the competitive environment, the proposal project, the contract, and the relationship with the customer. A survey was conducted to gather information related to these factors as well as contract award status for recent proposal efforts. An analysis of the survey results indicates that suppliers seeking to be awarded new contracts should: (1) keep their existing customers very satisfied with the contract work already captured, (2) invest adequate resources in systems engineering labor to understand the requirements and define a solution in support of the proposal, and (3) maintain an adequate number of face-to-face contacts with the customer during the proposal process.A modeling framework was developed and validated to help decision makers determine an optimal use of systems engineering on their proposals. The framework allows users to maximize the probability of a contract award given constraints, such as budget and employee availability, by strategically allocating resources to key systems engineering activities and employee with various skill levels. Organizations that engineer complex systems can use the findings of the survey analysis and the modeling framework to improve the chances of survival for their organizations.en_US
dc.description.sponsorshipFerreira, Susanen_US
dc.language.isoenen_US
dc.publisherIndustrial & Manufacturing Engineeringen_US
dc.titleOptimizing The Use Of Systems Engineering On Proposalsen_US
dc.typePh.D.en_US
dc.contributor.committeeChairFerreira, Susanen_US
dc.degree.departmentIndustrial & Manufacturing Engineeringen_US
dc.degree.disciplineIndustrial & Manufacturing Engineeringen_US
dc.degree.grantorUniversity of Texas at Arlingtonen_US
dc.degree.leveldoctoralen_US
dc.degree.namePh.D.en_US


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