Agility in Offshore Wind Turbine Manufacturing
This doctoral research investigates how digital twin technology, AI/ML, and integrated manufacturing systems can enable agility in offshore wind turbine production. The work uses a sport analogy — mapping an athlete's detect–interpret–decide–react cycle to a manufacturing system's response capabilities.
Conducted as an Industrial PhD at NTNU (Norwegian University of Science and Technology) in collaboration with Siemens Gamesa Renewable Energy's nacelle factory in Brande, Denmark, the research proposes a closed-loop feedback architecture where factory simulation serves as the digital twin core, enabling real-time validation of manufacturing changes.
