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 ...

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 ...

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 ...

Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

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 ...

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 ...

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 systems engineer who fully owns the operational outcome: the security, the compliance, the resilience, the mission, is ...

WEST LAFAYETTE, Ind. — Purdue University has received a $60,000 grant from the Northrop Grumman Foundation, which will allow 22 recent graduates or current students from Purdue Global to participate ...

Volvo CE designs smarter with model-based systems engineering (MBSE). By connecting requirements, models and field data into a single digital thread, they were able to reduce errors, accelerate ...

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 ...

Neuroengineering is not simply applied (neuro)science; it is a systems engineering discipline. Limits in translational failures often reflect insufficient system integration rather than device ...