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A critical capability in digital engineering, MBSE integrates iterative, comprehensive design with insights into the implications of choices, changes and system behaviors.

A model-based systems engineering (MBSE) approach consists in using a formal digital language to specify, design, analyze and verify a system. It enables the implementation of workbenches providing modeling services such as edition, visualization, transformation, comparison, storage, etc.

It allows systems architects to work on a system across the whole spectrum from a business needs perspective, to the physical implementation, including the logical decomposition of the system.

Having both a functional view of the system as well as traceability right up to the physical components ensures the integrity of the system’s description and the full traceability throughout the systems engineering process. This reduces inconsistencies and facilitates assembly by allowing early identification of any incompatibilities between components.

Rather than using traditional document-based data through the systems engineering and systems integration life cycle, MBSE uses models and simulations as the primary means of information exchange and to create digital threads and “digital twins” for systems.

Digital twin technology supports MBSE.

A digital twin is a virtual instance of a physical system synchronized through the physical twin’s operational data such as performance, maintenance and health. Integrating the physical and virtual worlds validates virtual models and helps engineers improve system analysis, better predict failures or downtime, and provide for more accurate maintenance schedules.

Digital twins support business agility by better predicting when future enhancements and product upgrades will be necessary to make Solution Roadmaps more accurate. And they can uncover new business opportunities by making learning, faster, cheaper and more reliable.

MBSE’s integrated data set approach demonstrates many benefits, such as:

  • Improves system quality, consistency and digital traceability
  • Increases personnel productivity and efficiency
  • Early risk identification, ,cost reduction, schedule and performance improvement
  • Enhances communications across key stakeholder groups
  • Eliminates single point failures through collaboration, knowledge sharing, and the exchange of models and their underlying data

Want to learn more? Tonex offers MBSE and Digital Engineering Workshop, a 2-day course that covers Model-based systems engineering (MBSE), Digital Engineering practices and tools, as well as methods like DODAF, UAF, UPDM, SysML and more. MBSE and Digital Engineering workshop helps participants and leads to greater efficiency and improved quality of all the acquisition activities.

Additionally, Tonex offers more than a dozen other courses in MBSE, including:

Model Based Testing Training (3 days)

Model Based Requirements Engineering  (4 days)

SysML Training Crash Course (4 days)

Requirements Engineering Workshop with Use Cases (3 days)

 For more information, questions, comments, contact us.

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