Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...

The benefits of using simulation early and often in the product development process are clear. You can verify requirements and begin studying and exploring design alternatives before prototyping and ...

How model-based systems engineering (MBSE) has improved system design. Thermal design and MBE come together. When considering systems-level design, it’s important to understand the criticality of the ...

Zuken Vitech, a leading provider of model-based systems engineering (MBSE) solutions, today announced the release of Sidekick v1.1 , a major advancement to its collaborative review and task execution ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

The so-called V-model provides many benefits for organizing the system engineering perspective by depicting the orderly progression, from requirements definition to system-level specification, ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

All automation projects ideally follow a process that reflects the classic systems engineering V model, whereby a need is identified, which drives requirements. Requirements are analyzed and broken ...

Samantha Planas is a systems engineer at Fenwal and member of the INCOSE Chicagoland chapter as well as a current MEM student. In this post she shares an overview of systems engineering and offers ...

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.