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Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network

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dc.contributor.advisor Daniel E. Whitney. en_US
dc.contributor.author Lee, Keen Sing, 1972- en_US
dc.contributor.other System Design and Management Program. en_US
dc.date.accessioned 2006-11-08T16:28:39Z
dc.date.available 2006-11-08T16:28:39Z
dc.date.copyright 2004 en_US
dc.date.issued 2004 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/34733
dc.description Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2004. en_US
dc.description Includes bibliographical references (p. 239-240). en_US
dc.description.abstract The design and development of a Main Battle Tank can be characterized as a technically challenging and organizationally complex project. These projects are driven not only by the essential engineering and logistic tasks; as the frequency of technological innovation increases system architects are motivated to apply an effective method to assess the risks and benefits of adopting technological alternatives. This thesis applies Bayesian Belief Network as a quantitative modeling and metrics calculation framework in establishing the preference order of possible architectural choices during the development of a Main Battle Tank. A framework of metrics was developed for the architect to communicate objectively with stakeholders and respond to challenges raised. These inputs were then encoded as variables in a global Bayesian Belief Network. Using a change propagation algorithm any changes in the probabilities of individual variables would trigger changes throughout the entire network and can be used as informing messages to the stakeholders to reflect the consequences of these changes. Two Bayesian Belief Networks were developed and tested to understand the effectiveness and sensitivities to the variables. The successful development of the Bayesian Belief Network offers technical and organizational benefits to the system architect. From the technical viewpoint, the model benefits include performing system tradeoff studies, iterating the design to incorporate feedback quickly, analyzing the sensitivity and impact of each design change to the overall system, and identifying critical areas to allocate resources. From an organizational process perspective, it enables speedier knowledge transfer in the project, and enables the engineers en_US
dc.description.abstract (cont.) to be knowledgeable about how their localized change could affect other sub-systems. en_US
dc.description.statementofresponsibility by Keen Sing Lee. en_US
dc.format.extent 240 p. en_US
dc.format.extent 17254399 bytes
dc.format.extent 17285775 bytes
dc.format.mimetype application/pdf
dc.format.mimetype application/pdf
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.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.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject System Design and Management Program. en_US
dc.title Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network en_US
dc.type Thesis en_US
dc.description.degree S.M. en_US
dc.contributor.department System Design and Management Program. en_US
dc.identifier.oclc 55620614 en_US


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