SBIR-STTR Award

Our MBSE implementation facilitates the analysis of mission effectiveness through the integration of multiple system models, each containing applicable MBPS data from external sources, into an overall platform model. The platform model provides linkages between the individual systems architecture and functionality to the overall platform missions. At the system level, MBSE simulation tools analyze Reliability, Maintainability, and Availability, using the MBPS data, to assess the design suitability and provide performance predictions against mission needs. The solution presented would promote a data-driven approach for Sustainment and Readiness planning, at the Program level, to optimize the platforms mission support capabilities.

Benefit:
We solved Navy engineering and sustainment automation technology gap by integrating functions provided by disparate product support and sustainment analytic tools into an MBSE systems engineering toolset. This was achieved by decomposing the product support and sustainment key performance parameters (KPPs) into their constituent parametric equations so that they could be modeled using the SySML standard, to effectively provide the ability to predict product support performance in the form of both operational availability, material availability, and product support costs prediction. The benefit of this approach is that these product support performance analytics is based on designs maintained in the SySML MBSE model which facilitate advanced analysis to include how design changes might affect product support performance, and how product support needs (manning, costs, Ao) can be designed in to FFG systems. Additional benefit of this approach is the ability to scale from a single system analysis to platform and fleet analysis using the proven ability for MBSE to scale analytics easily.

Keywords:
Mission Effectiveness Analysis, Mission Effectiveness Analysis, Maintainability, readiness, sustainment, Reliability, System of Systems (SoS) Modeling, Operational Availability, Data Integration