The project aims at improving European launchers’ manufacturing and operations through digital technologies, processes and methods. Its objectives are Develop a complete data management framework to proactively manage risks in new automated production and operations. Develop new Predictive Maintenance and Quality components to implement new automated launcher production and operations Implement new logistic processes that allow an optimal management of resources. Evaluate the benefit of these new capabilities in realistic operational scenarios Accompany the consequent transformation of human competencies, create new job profiles. Evaluate other possible sectors for which the proposed predictive framework could be applied Create an ecosystem involving the overall European Launcher Industry and possibly other sectors SESAME will provide the European Launcher Industry with a framework allowing producing the data, a digital, open, intelligent, secure and standards based platform, and human in the loop processes enabling engineers and operators in launcher development, production, testing and operations to implement proactive risk management. The framework aims at achiving cost reduction through improved production and operation effectiveness, reduction of Cost of Non-Quality, improved working environment and operator’s safety

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