Intuitive opens model-based systems engineering collaboration center

HUNTSVILLE — Intuitive Research and Technology recently celebrated the opening of its Model-Based Systems Engineering Collaboration Center in Cummings Research Park. The facility will serve as a training and meeting space for customers and employees.

Opening the center is in response to exponential growth in Intuitive’s MBSE capabilities and in the team, the company said. Intuitive’s MBSE team accounts for more than 20% of the open management group certified systems modeling professional – model users and more than 15% of the OCSMP model builder fundamental level certificate holders in the state. Intuitive is an aerospace, engineering and analysis firm headquartered in Huntsville

“Intuitive is investing in the future of MBSE and we are excited to open the doors to our new training space and lab, which helps us further meet our customers’ next generation system’s needs,” said Casey Cooper, MBSE program manager. “MBSE has been a game changer across systems engineering disciplines and we are excited about what this new lab will do for MBSE.

“With the excitement surrounding model-based systems engineering and how it is changing the way we provide systems engineering support, this lab was no longer a nice-to-have, but a need-to-have facility.”

The center is equipped with large-format displays and MagicDraw workstations. Modelers can create structural diagrams, develop use cases, create behavior diagrams, generate requirements traceability, and perform parametric analysis for systems of interest.

Customers in the aerospace and defense sector expect speed, precision, and transparency in systems development, the company said, and achieving these objectives with a MBSE approach is a challenge. Risk can increase exponentially in complex systems as each adjustment in system requirements or design must be traced across multiple documents and engineering products.

MBSE solves this problem by managing and storing system information within the context of a system model. This model allows system engineers and designers to identify changes in real time and trace the ripple effect of those changes throughout the system.