Pitch
Due to the offshore weather conditions, market uncertainty and multiple actors involved, there is a growing complexity around the very limited accessibility of the turbines and optimized deployment of maintenance ships and crews. The major output of Zog is maintenance and crew transfer plans. By using the historical data on the health status of turbines, weather and market fluctuations, we propose an optimized maintenance schedule with regards to the type and number of vessels and the optimal route plan to access the scheduled turbines. The final product is a cloud-based decision-support system with offline usage functionality.
