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8.1.3 A system‐of‐systems approach for application to large‐scale transportation problems
Author(s) -
Kang Taewoo,
Mavris Dimitri N.
Publication year - 2005
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2005.tb00738.x
Subject(s) - parallels , computer science , stakeholder , complex system , key (lock) , class (philosophy) , scale (ratio) , system dynamics , focus (optics) , systems engineering , industrial engineering , system of systems , monte carlo method , operations research , management science , risk analysis (engineering) , systems design , engineering , artificial intelligence , computer security , operations management , business , economics , software engineering , mathematics , geography , physics , management , cartography , optics , statistics
There is growing recognition of a class of problems known as “System‐of‐Systems” that draws parallels to the characteristics and philosophy of Systems Engineering, but with unique complexities that deserve separate focus and study. This paper first seeks to outline defining characteristics of System‐of‐Systems problems, and discusses the progression of research in related fields as well as the direction for ongoing research in this area. A key aspect in System‐of‐Systems research is the dynamic propagation of uncertainty across the stakeholder network. To investigate this phenomenon, a system dynamics model of a Personal Air Vehicle (PAV) manufacturer is first developed. Using Monte Carlo Simulation, the variability of the manufacturer's yearly net income over a ten‐year period is calculated. Combined with the evaluation of uncertainty characteristics more prevalent in other stakeholders, this methodology provides guidance in determining robust strategies at the System‐of‐Systems level.