Harnessing Our Consortia to Shape the Future of Digital Engineering Frameworks

Digital engineering transforms traditional engineering processes, making them more efficient, collaborative, and adaptive to the dynamic needs of modern industry. It streamlines and enhances the design, development, and deployment of complex systems through the integration of digital technologies.

By facilitating collaboration and communication, digital engineering ensures data-driven decision making, faster problem solving, and increased flexibility and adaptability.  By enabling rapid prototyping, simulation, and testing, digital engineering reduces the time it takes to move from concept to production.

This operational efficiency can improve product quality and reliability, reduce costs, and ensure sustainability. Digital engineering reduces environmental impact by reducing material waste, energy consumption and emissions across the entire lifecycle. This improved lifecycle management leads to more efficient resource utilization and a longer life.

The Digital Engineering Working Group

The initial focus areas of the Working Group pertain to digital twin technology. Digital twins are a vital tool for digital engineering because they help engineers and operators understand how products perform and how they will perform in the future. In the digital twin world, digital engineering impacts the entire production life cycle from model-based development, simulation and modeling, through Verification, Validation and Uncertainty Quantification (VVUQ) processes.

Digital Engineering Throughout the Digital Twin Lifecycle

Digital Twin Lifecycle

Digital Twin Maturity Assessment Framework

Maturity Assessment Framework

Digital Thread & Digital Twin Differentiation

Digital Thread & Digital Twin Differentiation

Generative AI for Digital Engineering Best Practices & Methodologies

Generative AI Towards Advancing Digital Engineering Best Practices & Methodologies