Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network
Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2004.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/34733 |
| _version_ | 1826218174911086592 |
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| author | Lee, Keen Sing, 1972- |
| author2 | Daniel E. Whitney. |
| author_facet | Daniel E. Whitney. Lee, Keen Sing, 1972- |
| author_sort | Lee, Keen Sing, 1972- |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2004. |
| first_indexed | 2024-09-23T17:15:24Z |
| format | Thesis |
| id | mit-1721.1/34733 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T17:15:24Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/347332019-04-11T12:16:10Z Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network Lee, Keen Sing, 1972- Daniel E. Whitney. System Design and Management Program. System Design and Management Program. System Design and Management Program. Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2004. Includes bibliographical references (p. 239-240). 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 (cont.) to be knowledgeable about how their localized change could affect other sub-systems. by Keen Sing Lee. S.M. 2006-11-08T16:28:39Z 2006-11-08T16:28:39Z 2004 2004 Thesis http://hdl.handle.net/1721.1/34733 55620614 eng 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. http://dspace.mit.edu/handle/1721.1/7582 240 p. 17254399 bytes 17285775 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | System Design and Management Program. Lee, Keen Sing, 1972- Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network |
| title | Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network |
| title_full | Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network |
| title_fullStr | Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network |
| title_full_unstemmed | Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network |
| title_short | Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network |
| title_sort | quantifying the main battle tank s architectural trade space using bayesian belief network |
| topic | System Design and Management Program. |
| url | http://hdl.handle.net/1721.1/34733 |
| work_keys_str_mv | AT leekeensing1972 quantifyingthemainbattletanksarchitecturaltradespaceusingbayesianbeliefnetwork |