Engineering Systems Matrix: An organizing framework for modeling large-scale complex systems
Author(s)
Bartolomei, Jason E.; Hastings, Daniel E.; de Neufville, Richard; Rhodes, Donna H.
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Alternative title
Engineering Systems Multiple-Domain Matrix: An organizing framework for modeling large-scale complex systems
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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.
Date issued
2010-10Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics; Massachusetts Institute of Technology. Engineering Systems Division; MIT Sociotechnical Systems Research CenterJournal
Systems Engineering
Publisher
Wiley-Blackwell Pubishers
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.
Version: Author's final manuscript
Other identifiers
SE-101006
ISSN
1098-1241
1520-6858