A Comparison of Information Passing Strategies in System Level Modeling
Frameworks for modeling the communication and coordination of subsystem stakeholders are valuable for the synthesis of large engineering systems. However, these frameworks can be resource intensive and challenging to implement. This paper compares three frameworks, Multidisciplinary Design Optimizat...
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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ASME International
2017
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| Online Access: | http://hdl.handle.net/1721.1/109228 https://orcid.org/0000-0002-7776-3423 https://orcid.org/0000-0003-2365-1378 |
| _version_ | 1811075658241015808 |
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| author | Ciucci, Francesco Lewis, Kemper Honda, Tomonori Yang, Maria C. |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Ciucci, Francesco Lewis, Kemper Honda, Tomonori Yang, Maria C. |
| author_sort | Ciucci, Francesco |
| collection | MIT |
| description | Frameworks for modeling the communication and coordination of subsystem stakeholders are valuable for the synthesis of large engineering systems. However, these frameworks can be resource intensive and challenging to implement. This paper compares three frameworks, Multidisciplinary Design Optimization (MDO), traditional Game Theory, and a Modified Game Theoretic approach on the form and flow of information passed between subsystems. This paper considers the impact of “complete” information sharing by determining the effect of merging subsystems. Comparisons are made of convergence time and robustness in a case study of the design of a satellite. Results comparing MDO in two- and three-player scenarios indicate that, when the information passed between subsystems is sufficiently linear, the two scenarios converge in statistically indifferent number of iterations, but additional “complete” information does reduce variability in the number of iterations. The Modified Game Theoretic approach converges to a smaller region of the Pareto set compared to MDO, but does so without a system facilitator. Finally, a traditional Game Theoretic approach converges to a limit cycle rather than a fixed point for the given initial design. There may also be a region of attraction for convergence for a traditional Game Theoretic approach. |
| first_indexed | 2024-09-23T10:09:55Z |
| format | Article |
| id | mit-1721.1/109228 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:09:55Z |
| publishDate | 2017 |
| publisher | ASME International |
| record_format | dspace |
| spelling | mit-1721.1/1092282022-09-26T16:09:50Z A Comparison of Information Passing Strategies in System Level Modeling Ciucci, Francesco Lewis, Kemper Honda, Tomonori Yang, Maria C. Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Engineering Systems Division Massachusetts Institute of Technology. Institute for Data, Systems, and Society Yang, Maria Honda, Tomonori Frameworks for modeling the communication and coordination of subsystem stakeholders are valuable for the synthesis of large engineering systems. However, these frameworks can be resource intensive and challenging to implement. This paper compares three frameworks, Multidisciplinary Design Optimization (MDO), traditional Game Theory, and a Modified Game Theoretic approach on the form and flow of information passed between subsystems. This paper considers the impact of “complete” information sharing by determining the effect of merging subsystems. Comparisons are made of convergence time and robustness in a case study of the design of a satellite. Results comparing MDO in two- and three-player scenarios indicate that, when the information passed between subsystems is sufficiently linear, the two scenarios converge in statistically indifferent number of iterations, but additional “complete” information does reduce variability in the number of iterations. The Modified Game Theoretic approach converges to a smaller region of the Pareto set compared to MDO, but does so without a system facilitator. Finally, a traditional Game Theoretic approach converges to a limit cycle rather than a fixed point for the given initial design. There may also be a region of attraction for convergence for a traditional Game Theoretic approach. National Science Foundation (U.S.) (Award DMI-0547629) 2017-05-19T18:42:58Z 2017-05-19T18:42:58Z 2010-08 Article http://purl.org/eprint/type/ConferencePaper 978-0-7918-4413-7 http://hdl.handle.net/1721.1/109228 Honda, Tomonori, Francesco Ciucci, Kemper Lewis, and Maria C. Yang. “A Comparison of Information Passing Strategies in System Level Modeling.” Volume 5: 22nd International Conference on Design Theory and Methodology; Special Conference on Mechanical Vibration and Noise (2010). © 2010 ASME International https://orcid.org/0000-0002-7776-3423 https://orcid.org/0000-0003-2365-1378 en_US http://dx.doi.org/10.1115/DETC2010-29026 Volume 5: 22nd International Conference on Design Theory and Methodology; Special Conference on Mechanical Vibration and Noise Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf ASME International American Society of Mechanical Engineers (ASME) |
| spellingShingle | Ciucci, Francesco Lewis, Kemper Honda, Tomonori Yang, Maria C. A Comparison of Information Passing Strategies in System Level Modeling |
| title | A Comparison of Information Passing Strategies in System Level Modeling |
| title_full | A Comparison of Information Passing Strategies in System Level Modeling |
| title_fullStr | A Comparison of Information Passing Strategies in System Level Modeling |
| title_full_unstemmed | A Comparison of Information Passing Strategies in System Level Modeling |
| title_short | A Comparison of Information Passing Strategies in System Level Modeling |
| title_sort | comparison of information passing strategies in system level modeling |
| url | http://hdl.handle.net/1721.1/109228 https://orcid.org/0000-0002-7776-3423 https://orcid.org/0000-0003-2365-1378 |
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