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Introducing Model-Based System Engineering Transforming System Engineering through Model-Based Systems Engineering

Authors: Eirik Hole; Gary Witus; Rob Cloutier; Mark Blackburn;

Introducing Model-Based System Engineering Transforming System Engineering through Model-Based Systems Engineering

Abstract

Abstract : In 2013, Naval Air Systems Command (NAVAIR) at the Naval Air Station, Patuxent River, Maryland initiated a research task (RT-48) to assess the technical feasibility of creating/leveraging a more holistic Model-Based Systems Engineering (MBSE) approach to support Mission-based Analysis and Engineering in order to achieve a 25% reduction in development time from that of the traditional large-scale weapon systems. The research need included the evaluation of emerging system design through computer models. The first phase of the effort created a strategy and began collecting and structuring evidence to assess the technical feasibility of moving to a complete model-driven lifecycle. The larger context of the NAVAIR mission seeks a Transformation of Systems Engineering (SE) through MBSE, where MBSE1 is used in the most general way. A key goal is to leverage virtual designs that integrate with existing systems data and simulations, as well as surrogates at varying levels of refinement and fidelity to support a more continuous approach to systems, Family of Systems (FoS), and Systems of Systems (SoS) analysis of alternative (AoA) and design refinement. Tradeoffs in this context would consider potentially non-optimal solutions that can close the gaps most rapidly to support the warfighters efforts in averting new or emerging threats. This should allow for proposing solutions to the mission/capability gaps, given both cost and time constraints and tradeoffs, but be significantly faster than using the current process while satisfying critically important safety and airworthiness requirements.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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