The need for rapid technological advances within large complex organizations such as the Federal Aviation Administration has caused an evolution of complex systems integration that challenges existing systems modeling approaches. These rapidly evolving advances in technology require a new decision framework and has a created a paradigm shift within Federal Agencies. The Next Generation Air Transportation System (NextGen) was implemented in 2003 and is charged with overhauling the National Airspace System while improving capacity, safety, efficiency and environmental impacts. The NextGen mission is large and the challenges intricate, due to the age and complexity of the National Airspace System, the decrease in federal funding, and the fact that NextGen is a multi-agency (DoD, National Air and Space Administration (NASA) and the Aviation Industry) /mutli-stakeholder (pilots, public, various industries) program.
To complicate matters further, most of the NextGen programs are Science and Technology (S&T)/Research and Development (R&D) programs and are complex systems being developed and integrated into an existing complex system in parallel with other complex programs, which adds risk and uncertainty. Although most Federal Agencies including the FAA have adopted some form of Systems Engineering Best Practices they still have difficulty implementing programs in a timely and cost effective manner. This research will categorize the fundamentals and applications of Model Based System Engineering during system design to reduce overall program risks by improving a communication among multi-agency/multi-stakeholder projects in the S&T/R&D environment.
Initial results will include the application of the concepts to a simple case study. Initial conclusions and future work will also be included.