Europe is the world’s largest manufacturer of machine tools but this position is threatened due to the emergence of Asian countries. However, Europe has world-class capabilities in the manufacture of high-value parts for such competitive sectors like aerospace & automotive and this has led to the creation of a high-technology, high-skill industry. European machine tool builders, part manufacturers and other agents have to work together to increase the competitiveness of European manufacturing industry. Simulation tools are currently a key complement to European machine tool industry expertise but new integrated approaches are needed. The main objective of Twin-Control is the development of a simulation and control system that integrates the different aspects that affect machine tool and machining performance. This holistic approach will allow a better estimation of machining performance than single featured simulation packages, including lifecycle concepts like energy consumption and end-life of components. This integrated concept will also enhance the necessary collaboration between machine tool builders and part manufacturers. The specific industrial objectives are: • Getting machines that work as designed faster (10% reduction) • Getting production processes that work as planned faster (20% reduction) • To get a first-time-right part manufacturing (75%) • To increase production time trough model-based control (increase of 1-2%) • To reduce energy consumption (25-50%) • Improve machine reliability and increase machine up-time due to a proactive maintenance (2-4.5%) All these will contribute to reduce machine tool life cycle costs (15 %) with a reduction of O&M costs in the range of 25%. The project considers the validation and demonstrator in real production scenarios in aerospace and automotive industries. Added to this, 3 demonstrators will be set-up in three pilot lines for spreading results beyond the project end

The advent of Industrie4.0 provides opportunities for adopting predictive maintenance (PdM), which represents the ultimate maintenance vision for manufacturers and machine vendors. Nevertheless, there are still barriers to successful deployment including the issues of data fragmentation, limited data interoperability, poor deployment of advanced analytics and lack of effective integration with other systems at the enterprise and field levels. PROPHESY will deliver and validate (in two complex demonstrators) in real plants a PdM services platform, which will alleviate these issues based on the following innovations: • A CPS platform optimized for PdM activities (PROPHESY-CPS), which will enable maintenance driven real-time control, large scale distributed data collection and processing, as well as improved production processes driven by maintenance predictions and FMECA activities. • Novel Machine Learning and Statistical Data processing techniques for PdM (PROPHESY-ML), which will be able to identify invisible patterns associated with machine degradation and assets depreciation, while at the same time using them to optimize FMECA activities. • Visualization, knowledge sharing and augmented reality (AR) services (PROPHESY-AR), which will enable remotely supported maintenance that can optimize maintenance time and costs, while increasing the safety of maintenance tasks. • A PdM service optimization engine (PROPHESY-SOE), which will enable composition of optimal PdM solutions based on the capabilities provided by PROPHESY-CPS, PROPHESY-ML and PROPHESY-AR. Service optimization aspects will consider the whole range of factors that impact PdM effectiveness (e.g., OEE, EOL, MTBF and more). PROPHESY will establish and expand an ecosystem of PdM stakeholders around the PROPHESY-SOE, which will serve as a basis for the wider update of the project’s results, as it will offer to the CPS manufacturing community access to innovative, turn-key solutions for PdM operations.

The fifth generation of wireless technology (5G) has arrived and is being rolled out globally. First industrial sectors such as manufacturing are testing the capabilities of 5G showing great potential for ubiquitous connectivity. With the sixth generation (6G), wireless communication will bring new features, improved performance, and functional benefits to several industrial sectors. The TARGET-X project envisions accelerating the digital transformation of key verticals: energy, construction, automotive, and manufacturing using large-scale trials in multiple testbeds. By demonstrating, validating, and evaluating the potential of 5G/6G in real environments, the most advanced 5G/6G technologies such as real-time communication, localization, self-description, digital twinning, and sensor-network data fusion can be tested and evaluated. The focus of the evaluation is on KPIs and especially KVIs, such as sustainability, safety, security, and privacy. Based on these KVIs, new business models and a methodological assessment framework for economic and societal evaluation will be developed. The development of the solutions will be supported and guided by the TARGET-X community, a network of SMEs, IT- and OT-partners, and up to 100 FSTP third parties, bringing together a strong consortium with SMEs and innovation drivers. To reach TARGET-X's goals, a selection of use cases will be established for all verticals in the existing 5G testbeds. New 5G/6G features will be developed and integrated into the testbeds and validated in evolved use cases. The FTSP projects will both deliver new use cases and technical contributions. A large number of FTPS participants will strengthen the 5G/6G ecosystem. Results of the project will be discussed with 6G-SNS projects and used for standardization, also in the different verticals.