The Smart European Shipbuilding project (SEUS) aims to create a framework for European shipyards by architecting and developing an integrated platform for a combined solution incorporating CAE, CAD, CAM, and PDM software and testing it at shipyards. The new platform solution 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 concept for shipbuilding. The consortium partners represent state-of-the-art development in three main areas: computational tools development, industrially applied research, and the end-users of the new technology – shipyards. The ambition is to achieve up to a 30% time-saving in engineering and up to 20% time-saving in assembly and construction at European shipyards. The elimination of gaps in digital information flows and the optimisation of work processes present the area for time and cost optimisation, providing significant economic impacts on shipbuilding. Identified impacts include development of computational platform solution, facilitation of digital transformation of shipbuilding, traceability and integration of early design impact the design process, competitive advantage for EU shipbuilders through time savings in design and production stages, expansion of shipyard’s exposure to ship’s life cycle: for retrofit, revitalisation, use of data from operation and maintenance, human-centric shipbuilding knowledge management, and EU workforce skills and expertise development. Each work package contributes to the main goal – the development of the new computational toolset, taking into account the target user groups’ needs, new research in industry and technology, integration and interoperability aspects of the platform, the novel human-centric approach, and the needed support processes for project management and dissemination.

The main objective of SmartCLIDE is to propose a radically new smart cloud-native development environment, based on the coding-by-demonstration principle, that will support creators of cloud services in the discovery, creation, composition, testing and deployment of full-stack data-centred services and applications in the cloud. SmartCLIDE will provide high levels of abstraction at all stages (development, testing, deployment and run-time) as well as self-discovery of IaaS and SaaS Services. SmartCLIDE will provide several categories of abstractions: at development stage, SmartCLIDE will provide abstractions on data transformations or processing; at testing stage, mechanisms to visualize flow and status or artefacts to automatically test the expected behaviour; at deployment stage, abstractions of physical and virtual resources; or at run-time, mechanisms to monitor the performance and operation of the service. The cloud nature of the environment will enable collaboration between different stakeholders, and the self-discovery of IaaS and SaaS services and the high levels of abstraction will facilitate the composition and deployment of new services to non-technical staff (with no previous experience on programming or on the administration of systems and infrastructure). Equally, hiding the complexity of the infrastructure, and adding intelligence to this layer, will allow to select the most adequate infrastructure services in each moment. SmartCLIDE will allow SMEs and Public Administration to boost the adoption of Cloud and Big Data solutions, being validated at one solution oriented to Public Administration (Social Security System) and three different IoT and Big Data products of software development SMEs within the consortium.

Manufacturing industries continuously face the challenge of delivering high-quality products under high production rates while minimizing non value-adding activities. The recent COVID-19 pandemic is causing manufacturers to rethink and reassess their global supply chains and the flexibility of their production sites. Resilience means the ability to withstand difficult situations, while flexibility can be considered as the ability to accommodate changes without incurring significant extra costs. Production processes demanding high human skill such as forming processes, requires readjustment of the process parameters of all production steps as a new product evolves. The deficiencies can be attributed largely to the lack of efficient ways for trusted data sharing among the stakeholders without interoperability barriers. There is a need to be able to determine when such changes lead to deterministic-chaotic behavior with far reaching consequences. FLEX4RES provides an open platform to support production networks' reconfiguration for resilient manufacturing value chains. FLEX4RES will utilize platform-based manufacturing that builds on the state-of-the-art Gaia-X and IDS technologies for data-sharing in the horizontal supply chain and the Asset Administration Shell (AAS) that is to implement intra-factory reconfiguration practices. FLEX4RES considers the Digital Twin of the value-adding network a key enabling technology to achieve reconfiguration processes in highly flexible production systems and networks. The key element of technology linkage is represented by the Self-Descriptions with linked, standardized information models, especially in terms of resilience. The developed platform and specialized hardware aim to improve the existing industry-established lean management approaches related to Reconfiguration Management through the digitalization of the production, characterized as Industry4.0, by allowing for the information sharing between value chain stakeholders.