Smart Manufacturing
The ACCURATE project aims to boost the competitiveness of European manufacturing companies and value chains by improving their sustainability, performance stability, resilience, and ability to manage unforeseen events.
ACCURATE will develop innovative approaches and deliver an integrated set of results, culminating into:
ACCURATE results will be validated in 3 pivotal use cases covering multiple key European industrial sectors and value networks (aerospace, automotive, biotech, energy, medical, mobility).
ACCURATE will exploit the transformative potential of data spaces and ecosystems in revolutionizing business models and value propositions and will leverage these technologies and approaches to achieve impact, create resilient manufacturing networks, instigate deep innovation and accelerate results adoption.
ES is the Scientific Coordinator of the project. Moreover, EnginSoft is responsible for the design and development of the ACCURATE human-centered decision-support systems (DSS). To this end, ES provides its expertise in data analytics and data modelling applied to manufacturing processes, mathematical modelling, AI and ML, data- and simulation-driven development of process/ system levels digital twins and optimization. Furthermore, ES will implement the modelling of unforeseen disruptive events and the Multi-level analysis of cause-effects propagation on supply chains.
SOFTWARE IMAGINATION & VISION SRL | AARHUS UNIVERSITET | AIRBUS ATLANTIC | CONTINENTAL AUTOMOTIVE ROMANIA SRL | DELTADAO AG | ELECTRONIQUE INDUSTRIELLE DE L'OUEST - TRONICO SAS | ENGINSOFT SPA | FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV | HOCHSCHULE FUR WIRTSCHAFT UND RECHT BERLIN | INSTITOUTO ANAPTIXIS EPICHEIRIMATIKOTITAS ASTIKI ETAIREIA | INSTITUT MINES-TELECOM
HORIZON-RIA - HORIZON Research and Innovation Actions | Call identifier: HORIZON-CL4-2023-TWIN-TRANSITION-01-07 - Achieving resiliency in value networks through modelling and Manufacturing as a Service (Made in Europe Partnership)
Some of our competences in research and technology transfer

Research project
Attraverso un innovativo approccio Digital Twin in ambito Prognostics Health Monitoring (PHM) è possibile l’individuazione di comportamenti anomali dei sistemi monitorati, che potrebbero portare a rotture impreviste durante il servizio, aumentando la capacità di diagnostica di guasto. Il monitoraggio consente una migliore pianificazione degli interventi manutentivi potendo valutare costi dell’intervento ed efficienza residua del sistema.

Research project
The GAP Project’s innovativeness lies in the development of innovative metallic materials with multi-sector application potential, increased by experimentation with new specific technologies (e.g. the use of ceramic cores for die-casting, surface treatments, and joining techniques).

Research project
RLW is emerging as a promising joining technology for sheet metal assembly due to benefits on several fronts including reduced processing time, (50-75%) and decreased factory floor footprint (50%), reduced environmental impact through energy use reduction (60%), and providing a flexible process base for future model introduction or product change.