Learn how systems engineering is shifting from document-centric practices to model-based, data-driven approaches that reduce ...

As heterogenous integration increases design complexity and forces engineers out of long-standing silos, model-based systems engineering (MBSE) is becoming essential for improving quality and reducing ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

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 ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

A hackathon challenged aerospace students to develop a detailed digital system model for a robotic assistant for astronauts on the Moon A hackathon challenged aerospace students to develop a detailed ...

The complexity of space missions results from the countless requirements, dependencies and interfaces that are handled jointly by experts from different disciplines. The exchange of information in ...