Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems
The scope and complexity of engineered systems are ever-increasing as burgeoning global markets, unprecedented technological capabilities, rising consumer expectations, and ever-changing social requirements present difficult design challenges that often extend beyond the traditional engineering para...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Wiley-Blackwell Pubishers
2012
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| Online Access: | http://hdl.handle.net/1721.1/70061 https://orcid.org/0000-0003-4421-5110 |
| _version_ | 1826214113171210240 |
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| author | Bartolomei, Jason E. Hastings, Daniel E. de Neufville, Richard Rhodes, Donna H. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Bartolomei, Jason E. Hastings, Daniel E. de Neufville, Richard Rhodes, Donna H. |
| author_sort | Bartolomei, Jason E. |
| collection | MIT |
| description | The scope and complexity of engineered systems are ever-increasing as burgeoning global markets, unprecedented technological capabilities, rising consumer expectations, and ever-changing social requirements present difficult design challenges that often extend beyond the traditional engineering paradigm. These challenges require engineers and technical managers to treat the technological systems as a part of a larger whole. Existing system modeling frameworks are limited in scope for representing the information about engineering systems. This paper presents a conceptual framework and an improved modeling framework for engineering systems. Its value is that it allows engineers and managers an improved means to visually arrange information and structure discourse in a way that facilitates better systems engineering. It augments the existing literature by providing a clear and concise framework for an engineering system, and provides a methodology for engineers to tag and organize systems information in ways that allow for better collection, storage, processing, and analysis of systems engineering data. |
| first_indexed | 2024-09-23T16:00:01Z |
| format | Article |
| id | mit-1721.1/70061 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:00:01Z |
| publishDate | 2012 |
| publisher | Wiley-Blackwell Pubishers |
| record_format | dspace |
| spelling | mit-1721.1/700612022-09-29T17:33:33Z Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems Engineering Systems Multiple-Domain Matrix: An organizing framework for modeling large-scale complex systems Bartolomei, Jason E. Hastings, Daniel E. de Neufville, Richard Rhodes, Donna H. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Engineering Systems Division MIT Sociotechnical Systems Research Center de Neufville, Richard Hastings, Daniel E. Bartolomei, Jason E. de Neufville, Richard Rhodes, Donna H. The scope and complexity of engineered systems are ever-increasing as burgeoning global markets, unprecedented technological capabilities, rising consumer expectations, and ever-changing social requirements present difficult design challenges that often extend beyond the traditional engineering paradigm. These challenges require engineers and technical managers to treat the technological systems as a part of a larger whole. Existing system modeling frameworks are limited in scope for representing the information about engineering systems. This paper presents a conceptual framework and an improved modeling framework for engineering systems. Its value is that it allows engineers and managers an improved means to visually arrange information and structure discourse in a way that facilitates better systems engineering. It augments the existing literature by providing a clear and concise framework for an engineering system, and provides a methodology for engineers to tag and organize systems information in ways that allow for better collection, storage, processing, and analysis of systems engineering data. 2012-04-19T15:26:51Z 2012-04-19T15:26:51Z 2010-10 2009-10 Article http://purl.org/eprint/type/JournalArticle 1098-1241 1520-6858 SE-101006 http://hdl.handle.net/1721.1/70061 Bartolomei, Jason E. et al. “Engineering Systems Multiple-Domain Matrix: An Organizing Framework for Modeling Large-scale Complex Systems.” Systems Engineering 15.1 (2012): 41–61. Web. https://orcid.org/0000-0003-4421-5110 en_US http://dx.doi.org/10.1002/sys.20193 Systems Engineering Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Wiley-Blackwell Pubishers MIT web domain |
| spellingShingle | Bartolomei, Jason E. Hastings, Daniel E. de Neufville, Richard Rhodes, Donna H. Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems |
| title | Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems |
| title_full | Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems |
| title_fullStr | Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems |
| title_full_unstemmed | Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems |
| title_short | Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems |
| title_sort | engineering systems matrix an organizing framework for modeling large scale complex systems |
| url | http://hdl.handle.net/1721.1/70061 https://orcid.org/0000-0003-4421-5110 |
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