Project

The project aims to facilitate the transition from fossil fuels to greener energy sources in Danish ferry shipping. The new and rebuilt ferries have, among other things, increased automation and innovative changes, which change the roles of crew members and require different skills.
A tailored method for job requirement analysis will be developed, with the Molslinjen as
a test platform, to identify competence gaps and optimize the distribution of tasks between people and technology.
The goal is to strengthen the ability of crews to handle the increased complexity of modern shipping and promote efficiency in the industry.

The goal of LSP Ship Factory together with Danish shipyards and companies is to automate ship production using robots and AI.

We introduce a novel cell-based concept for automated shipyard operations, in which processes are executed in a central multi-purpose/multi-robot workspace. This cell-based concept optimizes the commissioning and continued development and extension of sophisticated automation equipment “out of the box” and enables shipyards to lift their highly manual operations today to flexible, digital, and robotized operations, monitored and controlled product quality and attractive workplaces for existing staff and young professionals alike.

We utilize the unique equipment of the newly established SDU Center for Large Structure Production (LSP), while supporting the shipyards and designers in implementing relevant aspects of the overall concept in their own operations with their own staff.

LSP Ship Factory thus enables shipyards to counter the pressure of a fierce global competition and a lack of workforce with innovative and manageable technologies for robotized production operations around the lifecycle of ships.

Outcomes of our joint developments prepare and support the Danish maritime sector with tangible solutions to reactivate and reshore the necessary competencies and capacities to engage in civil and naval initiatives for building and maintaining vessels in DK.

Funded by Grand Solutions.