The advances in the Information and Communication Technologies are revolutionizing our everyday life. However, the manufacturing industry does not yet take complete advantage of this huge potential. Using the latest ICT developments, MC-SUITE project wants to boost the productivity of manufacturing industry. On the one hand, machining process modelling empowered by High Performance Computing technologies allows simulating precisely the cutting process including force and surface quality. On the other hand, monitoring of the machine empowered by Big Data and Cloud technologies allows analysing the real process including vibration and process instability issues. Bridging the gap between virtual and real worlds, correlations of the simulated and monitored cutting process will allow optimizing both simulation and machining performances. In agreement with the work programme, the combination of manufacturing technologies and ICT is at the core of the construction of this consortium. The project will complement science with innovation to propose new software frameworks which can collect information from multi-monitoring devices as turnkey technologies to improve the machining process. MC-SUITE will produce multiple impacts in the European industry, reflecting the trans-disciplinary nature of the project. The participation of industrial partners, both SMEs and large companies from ICT and industrial sectors, will ensure that the project will directly impact on wide range of industries such as metal part manufacturing, Computer-Aided Manufacturing software, machine tool industry. MC-SUITE project has the opportunity to produce a new breakthrough in the productivity of the European manufacturing industry.

InterQ project proposes a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure the quality in smart factories in a holistic manner, including process, product and data (PPD quality). The broad vision of InterQ project will allow controlling the quality of a smart manufacturing environment in an end-to-end approach by means of a PPD quality hallmark stored in a distributed ledger. The concepts of InterQ will be applied in three high-added value industrial applications. The main objective of InterQ project is to measure, predict and control the quality of the manufactured products, manufacturing processes and gathered data to assure Zero-Defect-Manufacturing by means of AI-driven tools powered with meaningful and reliable data. The project develops five modules: 1) Thanks to the InterQ PPD quality hallmark, the quality of the process, product and data are interlinked, integrated and time stamped. A hallmark will be created after each stage, and the quality will be traced across the supply chain. A trusted framework will be implemented using distributed ledger (InterQ-TrustedFramework module) to exchange quality information. 2) The InterQ-Process module of the project will obtain more meaningful process data for quality optimization. This data will be obtained using new sensors close to the tool and by AI-driven virtual sensors. 3) The project presents new solutions (InterQ-Product module) to predict the final quality of the processes using digital twins fed by experimental data and new digital sensors to measure the product quality. 4) The reliability of data will be checked in two layers: in real time and based on historical and statistical analysis of the data streams (InterQ-Data module). 5) Finally, InterQ-ZeroDefect module will use the reliable information about the process and product quality to improve the production for Zero-Defect-Manufacturing by means of AI-driven applications.