AI-Supported Engineering Change Estimation and Management
Researcher Fabio Hanspach
Research focus
Leveraging artificial intelligence (AI) to support early-stage product/system development and change management.
This project investigates the use of AI in systems engineering to assist in the development of complex, multidisciplinary systems. It aims to make the early design stages more efficient, accurate, and adaptable to change.
As systems grow in complexity and require greater cross-disciplinary collaboration, traditional methods face increasing challenges. AI can help by supporting early-stage design, assessing the effects of potential changes, and improving the understanding of system interdependencies.
The research involves creating and evaluating an AI-driven solution that connects various levels of systems engineering information to provide better insight, reduce effort, and enhance collaboration. By lowering barriers to advanced engineering practices, the results aim to benefit organisations across a variety of technology-driven industries.