Agility in Offshore Wind Turbine Manufacturing
This doctoral research investigates how digital twin technology, AI/(ML-DL), 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–balance cycle, and communication-learning-emergence-synergy connectors to a manufacturing system's response capabilities.
Conducted as an Industrial PhD at NTNU (Norwegian University of Science and Technology) in collaboration with Siemens Energy/Siemens Gamesa Renewable Energy's nacelle factory in Denmark, the research proposes a closed-feedback loop architecture where factory simulation serves as the digital twin core, enabling real-time validation of manufacturing changes.
