dc.contributor.author | Bartolomei, Jason E. | |
dc.contributor.author | Hastings, Daniel E. | |
dc.contributor.author | de Neufville, Richard | |
dc.contributor.author | Rhodes, Donna H. | |
dc.date.accessioned | 2012-04-19T15:26:51Z | |
dc.date.available | 2012-04-19T15:26:51Z | |
dc.date.issued | 2010-10 | |
dc.date.submitted | 2009-10 | |
dc.identifier.issn | 1098-1241 | |
dc.identifier.issn | 1520-6858 | |
dc.identifier.other | SE-101006 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/70061 | |
dc.description.abstract | 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. | en_US |
dc.language.iso | en_US | |
dc.publisher | Wiley-Blackwell Pubishers | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1002/sys.20193 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike 3.0 | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | en_US |
dc.source | MIT web domain | en_US |
dc.title | Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems | en_US |
dc.title.alternative | Engineering Systems Multiple-Domain Matrix: An organizing framework for modeling large-scale complex systems | en_US |
dc.type | Article | en_US |
dc.identifier.citation | 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. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Engineering Systems Division | en_US |
dc.contributor.department | MIT Sociotechnical Systems Research Center | en_US |
dc.contributor.approver | de Neufville, Richard | |
dc.contributor.mitauthor | Hastings, Daniel E. | |
dc.contributor.mitauthor | Bartolomei, Jason E. | |
dc.contributor.mitauthor | de Neufville, Richard | |
dc.contributor.mitauthor | Rhodes, Donna H. | |
dc.relation.journal | Systems Engineering | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Bartolomei, Jason E.; Hastings, Daniel E.; de Neufville, Richard; Rhodes, Donna H. | en |
dc.identifier.orcid | https://orcid.org/0000-0003-4421-5110 | |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |