SeCoIIA aims at securing digital transition of manufacturing industry towards more connected, collaborative, flexible and automated production techniques. It fosters user-driven application cases from aeronautics, automotive and naval construction sectors. Collaboration is considered from Organization to Organization (O2O), but also from Machine to Machine (M2M), Machine to Human (M2H) and Human to Human (H2H) perspectives. Enhanced process monitoring, optimization and control is achieved by intelligent use digital twin technology, Industrial IoT, Cloud Manufacturing (CMfg), collaborative robotics and Industrial AI. The collaborative approach triggers a virtuous cycle of growth and innovation, irrigating the full value chain, from very large to very small actors. Now reaching this step requires due diligence to security implications. The transition from hierarchized supply chains to collaborative networks of smart factories opens an attack surface so far never reached. Manufacturing operators are untrained to the manipulation of vulnerable cyber-physical assets. The deployment of smart sensors over distributed shop floors requires time sensitive communication security measures. Enhanced collaboration on manufacturing activities may not safely apply without collaborative security monitoring and incident response. Last but not least, the increased reliance on machine-learning based decision making sets a technical challenge in terms of security assurance and a legal challenge in terms of accountability and law enforcement. These are the challenges that SeCoIIA intends to address through the development of 12 key capabilities which will be assessed in various configurations through 3 ambitious demonstration campaigns lead by pilot users. With 4 large strategic industry players, 4 highly innovative SMEs and 4 highly recognized research centres, SeCoIIA consortium is best suited to achieve enhanced competitiveness and resilience for European manufacturing industry.

Action on circularity is not taken when information and evidence is not available across the life cycle chain. The CircThread project's main objective is to unlock access to data now in silo’s, and enhancing it as decision information for actors across and outside the extended product life cycle. To do this CircThread will deliver a Circular Digital Thread methodology, a framework for facilitating information flow exchanges across the extended life cycle chain of Products, Components, their Materials and Chemicals data, and related Circularity, Environmental, Social and Economic Information. The core is to create data linkages between product chain, value chain, asset chain and life cycle chains based on a Product information Catalogue, and enable information exchanges via data contracts governed by secure and reliable management standards. The project will implement the system in Cloud Platforms in 3 demonstration clusters in Italy, Slovenia and Spain rolled-out across the entire extended life cycle chain of home appliances (incl. washing machines and dish washers) and home energy systems (incl. boilers, solar-PV systems and batteries) to test 7 circularity use cases and associated business models. The expected impact for the work programme is to enable improved decision taking accelerating Circularity and Carbon emissions reductions including: i) Enhanced life extensions of products by better understanding of in use failures and maintenance needs, ii) improved understanding of the quality of end-of-life products for spare parts buy-backs to support right to repair, iii) improved assessment of circularity routes by waste management and recycling companies by delivering enhanced product composition data, iv) improved materials and chemicals tracing of products and components for safer products and identifying Critical Raw Materials cycles, v) Empowering decisions by citizens and citizen organisations by providing direct access to product performance information.