The logistics and marine operations module was improved in respect to the vessel selection methodology and the waiting on weather algorithm, providing more meaningful results and a way to quantifying uncertainty. Preventive and corrective maintenance activities were included, namely tow to port maintenance options, and vessel, equipment and port data were updated. Additional flexibility was also implemented to provide the user a way to customise the operations according to their preferences. The development of this module was carried out in close connection with tools for assessing for the reliability, availability, maintainability and survivability.

The business logic of the code has been implemented in Python 3. An application programming interface was developed in OpenAPI and provided with the code. Preliminary unit tests were implemented to verify the business logic of the code and to contribute to the easy maintainability for future developments of the tool.

Partners of the project: Tecnalia, The University of Edinburgh, Energy Systems Catapult, Wave Energy Scotland, France Energies Marines, WavEC Offshore Renewables, Aalborg University, EDF, Enel Green Power, Naval Energies, Bureau Veritas, IDOM, Nova Innovation, CorPower Ocean, Open Cascade, EDP, Orbital Marine Power, Sabella.

Funding: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement n° 785921.