Digital Engineering

Digital Engineering
MTSI digital engineering
  1. Model-Based System Engineering (MBSE) competencies that meet the needs of our current and future customers.
  2. Concept elaboration, business process modeling, requirements development and management, Digital M&S, HWIL Ground Test system architecture, design, integration and testing, verification and validation,
  3. Enhance engineering services such as configuration and risk management.
  4. Model-Based System Engineering tools to analyze and manage business operations and systems engineering support at the “enterprise” level.
  5. MBSE experience utilizing an array of tools and methodologies on systems that vary in size and complexity, such as the Army Hypersonics Program Office, Expandable Variable-Autonomy Architecture (EVAA) to produce a new Multi-Monitor Run Time Assurance system, MDA Early Digital Product and MDA Integrated Ground Test HWIL product, as well as other distributed System Simulation domain areas.
MTSI is proficient with multiple SysML and UML-capable tools such as IBM Rational Rhapsody and NoMagic Cameo Enterprise Architect for architecture development and integration with existing mathematical modeling tools such as Matlab, both in traditional and agile development environments. These tools enable MTSI to develop an open systems architecture for each system produced, analyze system logic and Key Performance Parameters before ever creating a prototype, and standardize the system design for later verification and validation.

The Digital Engineering paradigm and related MBSE tools and systems engineering processes have the potential to shift engineering rigor leftwards in the systems engineering V. It requires an understanding of the Digital Engineering approach as opposed to mere application of SysML tools.

Enterprise System Engineering Approach:

  1. Enabled through the use of modeling & simulation
  2. Architecture and behavior defined and captured early in the life-cycle
  3. Refined throughout
  4. Captured in a single MBSE System model
  5. Formalizes the development, integration, and use of models to inform critical decisions
  6. Improves engineering practices
  7. Rapidly incorporates technology innovations
  8. Develops and implements DE infrastructure,
  9. Enhances stakeholder collaboration
  10. Ultimately saving time and money.