Periodic Reporting for period 1 - ACCURATE (ACHIEVING RESILIENCE THROUGH MANUFACTURING AS A SERVICE, DIGITAL TWINS AND ECOSYSTEMS)
Reporting period: 2023-12-01 to 2025-05-31
• 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).
The ACCURATE consortium acknowledges 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.
ACCURATE vision: To realize Manufacturing as a Service (MAAS) value chains whose capacity, profitability, and sustainability are robust to longer- and shorter-term exogenous disruptions.
ACCURATE mission: To deliver a federated MAAS framework, data space and ecosystem, powered by multilevel digital twin models of MAAS value chains, to enable a collaborative, human-centered Decision-Support
System (DSS) for robust planning, resilient operation and responsive value networks and industrial systems recovery.
To support such objectives, the Consortium worked on different and interrelated directions, including but not limited to:
• Identifying and analyzing the industrial Use Cases (WP7),
• Developing scientific contributions beyond the State-Of-The-Art (SOTA) to provide new models,
solution approaches, and decision support systems to support the project vision (WP2, WP3, WP4),
• Delivering the dataspace and marketplace to enable the Ecosystem (WP5),
• Developing services and tools that will populate it (WP2, WP3, WP4, WP6)
• Considering relevant development work, an ontology-based matchmaking approach for MaaS was
developed that can be used by non-experts. The graphical user interface is enabling the interaction
with the semantic model and Matchmaking algorithm which complemented by a chatbot
functionality, which further supports human interaction and decision-making (WP2).
• Development of Decision-support and MAAS-oriented circularity and sustainability ontologies,
models and tools (WP3)
• Development of mathematical models, simulation and optimization-based solution approaches and
decision support capabilities/tools (based on discrete-event simulation, mathematical programming,
and data analytics) to support robust and resilient MAAS value chains (WP4)