2026-09-18T22:35:07Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1135132022-09-01T02:08:58Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Donna H. Rhodes.
Hurst, Kyle B
System Design and Management Program.
Massachusetts Institute of Technology. Engineering and Management Program
System Design and Management Program.
Massachusetts Institute of Technology. Integrated Design and Management Program
2018-02-08T16:27:10Z
2018-02-08T16:27:10Z
2017
2017
http://hdl.handle.net/1721.1/113513
1020073537
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 86-88).
The nanosatellite industry is expanding rapidly, as academic and private institutions develop new technologies for experimentation on orbit. These "CubeSats" are resource constrained, complex socio-technical systems that have complicated interdependencies across multiple domains. To improve understanding and reduce ambiguity, systems engineers apply a variety of modeling frameworks to model system behavior. Introduced in 2007, the Engineering Systems Multiple- Domain Matrix (ES-MDM) framework addresses the interdependencies of a complex engineering system, such as a CubeSat, across five domains: environmental, social, functional, technical and process. Using the Free-space Lasercom and Radiation Experiment (FLARE) CubeSat constellation as an example engineering system case, the ES-MDM is constructed using the qualitative knowledge construction framework to model and analyze the system drivers, stakeholders, objectives, function, objects and processes of the system. The primary objective of this analysis is to provide a structured systems design approach for nanosatellite development that encompasses the entire system holistically. The second objective is to analyze the interactions and interdependencies within a highly-constrained system and determine key design nodes that are critical to system flexibility. The third objective is to evaluate the ability of the ES-MDM methodology to analyze a highly-constrained system. The fourth objective of thesis is to provide recommendations for future work to improve the ESMDM framework and the s7102 Massachusetts Institute of Technology. Integrated Design and Management Program.
by Kyle B. Hurst.
S.M. in Engineering and Management
88 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Engineering and Management Program.
Integrated Design and Management Program.
System Design and Management Program.
Applying the engineering systems multiple-domain matrix framework to nanosatellite space systems
Thesis
application/pdf
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Publication
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<Abstract>The nanosatellite industry is expanding rapidly, as academic and private institutions develop new technologies for experimentation on orbit. These "CubeSats" are resource constrained, complex socio-technical systems that have complicated interdependencies across multiple domains. To improve understanding and reduce ambiguity, systems engineers apply a variety of modeling frameworks to model system behavior. Introduced in 2007, the Engineering Systems Multiple- Domain Matrix (ES-MDM) framework addresses the interdependencies of a complex engineering system, such as a CubeSat, across five domains: environmental, social, functional, technical and process. Using the Free-space Lasercom and Radiation Experiment (FLARE) CubeSat constellation as an example engineering system case, the ES-MDM is constructed using the qualitative knowledge construction framework to model and analyze the system drivers, stakeholders, objectives, function, objects and processes of the system. The primary objective of this analysis is to provide a structured systems design approach for nanosatellite development that encompasses the entire system holistically. The second objective is to analyze the interactions and interdependencies within a highly-constrained system and determine key design nodes that are critical to system flexibility. The third objective is to evaluate the ability of the ES-MDM methodology to analyze a highly-constrained system. The fourth objective of thesis is to provide recommendations for future work to improve the ESMDM framework and the s7102 Massachusetts Institute of Technology. Integrated Design and Management Program.</Abstract>
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