The project's main objective is to develop a highly innovative, secure-by-design framework that fully exploits the MaaS paradigm. This framework will offer secure data exchange between companies and cutting-edge tools to enhance production efficiency and sustainability. The MEDUSA framework will establish a seamless connection between existing marketplaces, facilitating optimized production by leveraging users' machinery and shared resources from other manufacturers. All resources will be treated as part of a distributed Cyber-Physical System of Systems (CPSoS), maximizing production. The implementation of an automation layer will enable the exchange of real-time production data and asset monitoring, allowing for the tracing and optimization of the product life cycle. The framework will also support the implementation of a DPP and provide AI-based tools for manufacturers to support decision-making for production planning, remanufacturing, and machine reconfiguration, always being energy-aware.

Recent years have seen the widespread diffusion of low-cost computational systems, triggering the transition towards even further decentralization towards the Edge of autonomic intelligence. While in the consumer domain this transformation is happening very fast, industrial applications are inevitably more conservative and require solid methodological and technological grounds to guarantee this transition to be dependable. 1-SWARM project focuses on the design-operations for CPSoS with the specific focus on industrial sector of large-scale distribution and logistics. The project aims at achieving industrially acceptable level of robustness of CPSoS whose operation emerges as “Swarm Intelligence”. 1-SWARM’s solution will span across different steps of the value chain, connecting intelligence through the digital domain to maximize their effectiveness and reliability. The objective is to provide a methodological and technological framework, modular and re-usable (“Swarm Intelligence DevOps Framework”), for the engineering of the three major aspects of CPSoS: i) The HW/SW runtime platform that sustains their operations; ii) The distributed and orchestrated Intelligence that guarantees their autonomic behavior; iii) The extension of their “existence” into the cyber-domain for a full life-cycle approach. Key to the exploitability of 1-SWARM’s result is the demonstration of its potentialities for 4 different application scenarios, whose requirements come from cross-domain use-cases, whose variability allows extensive validation of the project technologies: 1) Manufacturing CPSoS for food packaging; 2) Logistics CPSoS for reconfigurable material handling; 3) Fleets of intelligent AGVs in complex dynamic environment; 4) Aerial drones flock for extensive monitoring of retails shops. Strong of its open and standard-based approach, 1-SWARM will create an international collaborative framework for the CPSoS domain, supporting extensively relevant standardization activities.

Zero-SWARM is a mission to achieve climate neutral and digitised production via a multidisciplinary, human centric, objective oriented innovative approach resulting in technical solutions for open swarm framework, non-public 5G network, active information continuum and digital twin. At the core, it establishes a unique forum where separately maturing technologies of 5G and cloud-edge continuum, data technologies and analysis (including data spaces and GAIA-X) and operational technology (automation and agility) break their siloes to co-design and co-create through 10 trials. It will showcase key achievements such as smart assembly, sustainable powertrains, improved resilience with remote operation, 5G powered PLC?s for real time distributed control systems, safe and autonomous transport of goods in factory, 5G enabled process aware AGVs, plug & connect 5G for industry, mobile intelligent agents for zero plastic waste, smart maintenance and optimization, remote quality control for zero defect resilient manufacturing. The project includes 3 nodes (north, center and south) with industrial test facilities from previous public/private investments co/creating with reputable industry players. Aligned with the technical activities, Zero-SWARM includes a tailored engagement program towards a wide audience, including collaboration with Digital Innovation Hubs and key initiatives in Europe. In addition, open innovation practices involves industry player as clients of developed technologies via Zero-SWARM community with 400 users and the expression of interest mechanism. It allows them to be the pioneer of the Zero-SWARM technologies, establishing an impact pathway even after the project end. Zero-SWARM puts strong emphasis on developing various learning materials to promote skill development of talented workforces with minimum efforts in prominent twin transformation, which will strongly contribute to build up European leadership in sustainable data driven manufacturing.

PROPLANET addresses novel coating materials solutions, tackling the problem from a sustainable-business perspective, enabling overcoming the barrier for environmental protection, safety, chemical improvements, and circular value chains. The main goal of PROPLANET is to design and optimise 3 innovative coatings for industrial sectors: textile, food-packaging, and glass. 1)Crosslinked biopolymer oil/wax microcapsules in polysaccharide matrix (hydrophobic, olephobic bio-based coating) 2) Hybrid siloxane biobased coating (non-stick and anticorrosion protection bio-based hybrid coating) 3) Hybrid siloxane coating (anti-soiling (AS) anti-reflecting (AR) hybrid coating). The value chain of each product is optimised from raw material source to End Of Life of products, ensuring the circular economy. All coatings are designed based on Safety and Sustainability by design (SSbD) concepts and optimised with mathematical computational tools such as first-principles-based models, in silico models, environmental fate models, and sustainability assessment. On top of that, replication activities aided by a powerful PROPLANET Replication tool based on data-driven algorithms and multiobjective optimization (MO) will promote the integration of the novel coatings on different applications, supporting their route to market, operating at different conditions, and following an Eco-design thinking. A well-balanced consortium, covering all actors in the , formed by end-users, technology solution providers and research organizations, ensures the successful achievement of objectives, which will allow a wide-spreading replication strategy towards efficient and safe designs for new coatings.