Afbeelding
The Smart European Shipbuilding project (SEUS) aims to create and test a software platform for European shipyards. The new platform will be built with the best EU shipbuilding expertise provided by academic and industrial consortium participants. It will develop novel practices for human-centric knowledge management, data-driven AI design elements, intelligent technology and Industry 5.0 concepts for shipbuilding.
What is the motivation for the project?
The maritime domain and shipbuilding industry have a significant impact on the European economy. The Dutch shipbuilding industry had a more than 7 billion euro annual turnover in 2020 (NMT). It enables society’s waterborne logistics through shipping, transportation, and tourism activities. It also stimulates technological development and sustainability. Industrial technology for the design and construction of high value and complex vessels is interconnected with the development of new power solutions, machinery and computational tools. Computational tools constitute the core of digitalization. They have a sizeable transformative potential in the design and construction process, the quality and innovativeness of solutions used, the investment required to build and maintain ships through their life cycles, the skills and expertise of shipbuilders, as well as the competitiveness of the EU shipbuilding industry. By doing so, computational tools have a significant impact on the future of the EU.
What problem is the project solving?
A vast and increasing amount of data is generated during the shipbuilding life cycle. There is considerable potential to use this data more effectively across the shipbuilding network value chain. Digitalization and computational tools have great potential to generate value for stakeholders in the form of cyber-physical systems or digital twins. The vast amount of data require a significant reshaping of existing tools and practices in order to be exploited successfully by the European shipbuilding industry. The gains come in the form of increased quality and reduced time required for design, virtual prototyping, estimations of impacts for the use of greening innovative technologies, modularization, flexible data management, interoperability across proprietary tools and efficient support for modern robotized fabrication with operational platforms.
