Due to the proliferation of ICT Technologies, manufacturing industry is undergoing substantial transformation in terms of HW but also in terms of Cyber-Physical Production Systems and the SW and services used within production environments. In parallel, the manufacturing processes of the future are changing and need to be highly flexible and dynamic in order to satisfy customer demands for, e.g. large series production, mass customization, or changing orders. To keep pace with the needs of the manufacturing industry of the future, in Manufacturing 4.0 companies need to flexibly react to these demands and be able to offer production capacities in a rapid way. Thus companies looking for manufacturing capacity need to be supported by the means to find these capacities, configure them, and integrate them into their own manufacturing processes. To achieve this, one obvious approach is to port successful concepts from the field of Everything-as-a-Service (XaaS) and Cloud computing to manufacturing to mirror agile collaboration through flexible and scalable manufacturing processes: • Leasing and releasing manufacturing assets in an on-demand, utility-like fashion • Rapid elasticity through scaling leased assets up and down if necessary • Pay-per-use through metered service Applying these principles, Cloud manufacturing can move manufacturing processes from production-oriented to service-oriented networks by modelling single manufacturing assets as services in a similar way as SaaS or PaaS solutions. By modelling all process steps and manufacturing assets as services it is possible to realize cross-organization manufacturing orchestrations and integrate distributed resources and ultimately manufacture products more efficiently. While the theoretical foundations for Cloud manufacturing are manifest there are no proven tools and technologies exist in the market - CREMA aims to change this fact by providing Cloud-based Rapid Elastic Manufacturing based on SaaS and Cloud model

Data is becoming the core engine of businesses. Data allows extracting, exchanging and sharing value out of the myriad of production and service chains that are no longer under a centralised distribution. As a result, an IT and OT convergence based on the integration of multiple ICT systems will transform market dynamics that present specific security challenges in a context of ever-accelerating change in terms of the threat landscape, attack surface, ecosystems, solutions and regulation. IDUNN’s main objective will focus on adding this trust ingredient to any business by making its ICT systems resilience to cyber-attacks. To achieve that, IDUNN will create a security shield in the form of tools, methodologies, microservices and initial standards compatible with any ICT supply chain. IDUNN will demonstrate a secure Continuity Plan for ICT based organisations by creating and validating a unique Cognitive Detection System for Cybersecure Operational Technologies. Faced with a possible incident, IDUNN will know how to act quickly to alleviate it, and in turn generate a cognitive learning process, which reduces human intervention and provides forecasting capabilities. In this respect, IDUNN will be capable of learning to protect themselves from new threats since they are constantly updated. IDUNN project will develop a complete integrated solution, modular and adaptative to different scenarios. Only when ICT systems behave securely, digital trust will be achieved. The deployment of IDUNN will (i) increase trust in ICT for both IT and OT, (ii) decrease person effort to ensure cybersecurity operations, (iii) increase response and lower recovery time, and above all, (iv) will have a crucial impact in the productivity of any businesses that make use of these secured ICT chains by ensuring that all technologies, services, and tools are defined to guarantee the continuation of the business, providing reasonable effective security and trust for the daily operations.

LAY2FORM will create a new cost-effective multistage manufacturing platform based on flexible machinery concepts, cognitive automation, inline monitoring and inspection, as well as simulation and modelling, enabling the efficient integration of unconventional technologies (laser and ultrasound) in established composites-based processes, namely tape-laying and hot-forming, to enable the production of multifunctional 3D hybrid parts from thin layered metals and thermoplastic-matrix composites. Framed by an end-to-end engineering approach, LAY2FORM will shorten the design and manufacturing cycle time and improve reliability, presenting a substantial potential to, in the middle term, turn the manufacturing of complex and intricate hybrid composite-metal parts highly cost competitive. The enhanced LAY2FORM manufacturing system will be a system of systems, containing the enabling process modules and digital sub-systems to create a continuous and automated manufacturing chain. Moreover, LAY2FORM will apply an integrated and systemic approach to implement full manufacturing routes and create new value chains, from materials conditioning to materials disassembly, being a robust basis for the efficient production of hybrid lightweight structures. The multidisciplinary approach proposed in LAY2FORM comprises a complex interconnection of leading R&I topics to develop an industrially-feasible and competitive manufacturing platform, compatible with the Industry 4.0 vision.

QU4LITY will demonstrate, in a realistic, measurable, and replicable way an open, certifiable and highly standardised, SME-friendly and transformative shared data-driven ZDM product and service model for Factory 4.0 through 5 strategic ZDM plug & control lighthouse equipment pilots and 9 production lighthouse facility pilots. QU4LITY will also demonstrate how European industry can build unique and highly tailored ZDM strategies and competitive advantages (significantly increase operational efficiency, scrap reduction, prescriptive quality management, energy efficiency, defect propagation avoidance and improved smart product customer experience, and foster new digital business models; e.g. outcome-based and product servitisation) through an orchestrated open platforms ecosystem, ZDM atomized components and digital enablers (Industry 4.0 digital connectivity & edge computing package, plug & control autonomous manufacturing equipment, real-time data spaces for process monitoring & adaptation, simulation data spaces for digital process twin continuity, AI-powered analytic data spaces for cognitive digital control twin composable services, augmented worker interventions, European quality data marketplace) across all phases of product and process lifecycle (engineering, planning, operation and production) building upon the QU4LITY autonomous quality model to meet the Industry 4.0 ZDM challenges (cost and time effective brownfield ZDM deployment, flexible ZDM strategy design & adaptation, agile operation of zero defect processes & products, zero break down sustainable manufacturing process operation and human centred manufacturing).