Research Projects

ACCURATE

ACHIEVING RESILIENCE THROUGH MANUFACTURING AS A SERVICE, DIGITAL TWINS AND ECOSYSTEMS

Sector

Smart Manufacturing

Product/Objective

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.

Project Summary

ACCURATE will develop innovative approaches and deliver an integrated set of results, culminating into:

  • a human-centric Decision Support System offering a better understanding of the impact of unforeseen events on manufacturing and industrial networks, providing timely, optimal and robust manufacturing supply and value chains design, planning, stress testing, reconfiguration and recovery, and improving their circularity and sustainability performances;
  • a Manufacturing As A Service framework covering multiple critical supply and value chains, leveraging data space technologies as well as multi-scale and multi-level Digital Twins and co-simulation, delivering swift adaptation capabilities of logistics and production that are technically and economically viable;
  • an open, standard-based, federated, trusted data space and ecosystem integrating data flows, models, and tools across actors in manufacturing value chains, creating smart manufacturing networks empowering humans and organizations to share valuable information and collaborate on MAAS solutions while retaining full sovereignty over their sensitive data and intellectual property.

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).

Innovation

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 Role

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.

Partners

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

Funding Scheme

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)

ACCURATE

Project web site

Duration

36 months

Period

December 2023 – November 2026

Coordinator

SOFTWARE IMAGINATION & VISION SRL

Reference in EnginSoft

Giovanni Paolo Borzi

Partners Number

11

Ask the Expert

Contact us!

Contact our R&D team for any information.

Ask for information

Find out more

Some of our competences in research and technology transfer

Research project

TECNOMED HUB

Multi-OMICS techniques in the medical sciences: AI to support public Health

The overall objective of the TECNOMED-HUB project is to create, in the Piedmont region of Italy, a technology platform to support medical research 4.0, based on the integration of existing multi-omics platforms with self-learning algorithms, data mining, and big data analytics.

Research project

GAP

Ghise e leghe di Alluminio ad elevate Prestazioni per componenti innovativi

L’innovatività del progetto GAP consiste nello sviluppo di materiali metallici innovativi, con potenzialità applicative multi-settoriali, incrementate dalla sperimentazione di nuove tecnologie specifiche (utilizzo di anime ceramiche per la pressocolata, trattamenti superficiali, metodologie di giunzione).

Research project

RuBeeCOMP

Components made in composite material, with integrated wireless communication systems capable of operating in environments hostile to radio frequency: systems, manufacturing technologies and product/ process integrated design platform

Production of components made of composite material, equipped with wireless communication systems capable of operating correctly in environments hostile to radio frequency.