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 ...

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 ...

Leveraging large language model (LLM) technology and implementing enterprise-specific chat systems and generative AI can significantly accelerate engineering processes within an organization. These ...

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 ...

This study proposes an integrated framework that combines Axiomatic Design with Model-Based Systems Engineering, incorporating NSGA-II as an intelligent optimization engine. The framework constructs a ...