The project is divided into seven work packages (WPs).
Up to M18, WP1 (Best Practices in Shipbuilding) focused on gathering open information and identifying best practices in smart shipbuilding (D1.1 M18), conducting an industrial survey (D1.2 M18), and preparing a development roadmap (D1.3). Current work supports the remaining WPs toward compiling the SEUS framework, to be delivered in M48 (D1.4).
WP2 (CAD + PLM Platform Development) leads the digital tool development. Deliverables include the roadmap and backlog (D2.1 M24), data model structure and mapping (D2.2 M36), software releases (D2.3 M36), and workflow documentation (D2.4 M36). WP2 develops the integrated WAVE platform, incorporating insights from WPs 1 and 5, and aligning with WPs 3 and 4. Current efforts focus on the Generic Data Model for Shipbuilding Projects (D2.5 M46).
WP3 (Open Platform Development) advances interoperability, AI capabilities, and cybersecurity governance. Interoperability requires close collaboration between software developers and academic partners. AI work has accelerated due to rapid developments such as large language models. Cybersecurity has been a priority from the start, with workshops held for all partners. By M36, the CAD interoperability interface (D3.1) and automated/interconnected AI services (D3.3) were delivered. Additional deliverables are scheduled after M36. Several results are already produced, such as scientific articles on open maritime data models, a beta-version of retrieval‑augmented generation using proprietary maritime data, and cybersecurity guidelines for the consortium.
WP4 (Implementation at Shipyards) validates the platform in industrial environments. Deliverables D4.1 (M18), D4.2 (M24), and D4.4 (M36) describe use cases and participants from both Norwegian and Spanish shipyards. Training material and a training plan (D4.3 M36) were completed. A final analysis of findings is planned for M42.
WP5 (Knowledge Management & Skills Development) focuses on human aspects and knowledge transfer. D5.1 (M24) presented a framework combining formal and tacit knowledge. D5.2 (M46) will integrate AI results into user‑oriented information. A smart shipbuilding activity map has been developed, emphasizing human–machine interaction. Business models for exploitation are also considered, with outcomes expected by M42. Learning‑technology training (D5.5 M36) delivered and evaluated a digital learning solution created within SEUS.
WP6 (Communication & Dissemination) promotes project visibility and outreach. An initial exploitation and dissemination plan was delivered in M6 (D6.6). By M36, the consortium reported 25 conference participations and 142 outreach activities (news, talks, workshops, scientific papers), including 35 peer-reviewed articles. Public‑oriented materials, such as the SEUS 2024 annual report, were produced. FAIR-compliant tools such as GitHub, Zenodo, and the project website were established (D6.1 M12, D6.3 M12), supported by IP management rules (D6.4 M18). Upcoming work includes customer‑oriented material, training content, and an updated dissemination plan.
Finally, WP7 (Project Management) ensures coordination of financial, technical, and legal activities. During the first six months, it delivered the management and quality plan (D7.1 M6), risk management plan (D7.2 M6), and initial DMP (D7.3 M6). Updates to the DMP were completed at M18 (D7.4) and M36 (D7.5). A final update (D7.6) is planned for M48
