ONE4ALL Agile and modular cyber-physical technologies supported by data-driven digital tools to reinforce manufacturing resilience

Summary

In addition, the physical modules and the processes addressed by those will be replicated digitally through data-driven digital twins and controlled by a self-learning AI-based distributed and multidisciplinary decision support system (DSS). In addition, the open-source approaches will be promoted throughout the whole project to ease the interoperability of the components.

All in all, interconnected and efficiently managed by an intelligent orchestration platform, with defined modules interfaces for the RCPM, production, product quality, sustainability aspects, business model, DSS and help desk to involve the end-user in everything that is going on across the whole supply chain, improve the understanding and assess the decision making.

An adaptive training programme for digital upskilling will be implemented over the entire project to prepare the workforce for the I5.0 transformation and fully exploit the potential of the technologies. The resilience of manufacturing operations will be enhanced by better anticipating the demand changes and providing more flexibility to act, thanks to the digital tools and modular and flexible structure integrated within the whole system.

The potential of ONE4ALL will be demonstrated in two relevant environments from different sectors (agri-food and pharmaceutical), both highly affected by disruption given their high and fluctuant demand and not fully impacted yet by I5.0 transformations. Consequently, it is expected to have a high impact and replicability opportunities.

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Result items:

Automation of outbound facility in pharmaceutical sector

Automation of products' sorting and distribution for olives provider

More information & hyperlinks

Web resources:	https://cordis.europa.eu/project/id/101091877 - Cordis https://one4allproject.eu/ - Official website https://www.linkedin.com/company/one4all-project/ - LinkedIn
Start date:	01-01-2023
End date:	31-12-2026
Total budget - Public funding:	5 999 206,00 Euro - 5 999 206,00 Euro

Cordis data

Original description

ONE4ALL aims to boost manufacturing plants’ transformation, especially SMEs, towards industry 5.0 (I5.0), reinforcing their resilience under unexpected changes in social needs. It is done through a human-and-sustainability-centred development of plug-and-produce reconfigurable cyber-physical production modules (RCPMs). Those will consist of self-reconfigurable mobile collaborative robots embedded with IIOT devices for real-time monitorisation and interconnectivity. In addition, the physical modules and the processes addressed by those will be replicated digitally through data-driven digital twins and controlled by a self-learning AI-based distributed and multidisciplinary decision support system (DSS). In addition, the open-source approaches will be promoted throughout the whole project to ease the interoperability of the components. All in all, interconnected and efficiently managed by an intelligent orchestration platform, with defined modules interfaces for the RCPM, production, product quality, sustainability aspects, business model, DSS and help desk to involve the end-user in everything that is going on across the whole supply chain, improve the understanding and assess the decision making. An adaptive training programme for digital upskilling will be implemented over the entire project to prepare the workforce for the I5.0 transformation and fully exploit the potential of the technologies. The resilience of manufacturing operations will be enhanced by better anticipating the demand changes and providing more flexibility to act, thanks to the digital tools and modular and flexible structure integrated within the whole system. The potential of ONE4ALL will be demonstrated in two relevant environments from different sectors (agri-food and pharmaceutical), both highly affected by disruption given their high and fluctuant demand and not fully impacted yet by I5.0 transformations. Consequently, it is expected to have a high impact and replicability opportunities.