Imagine a factory that can change its entire setup as easily as switching a playlist, without spending a fortune. This project creates a secure digital bridge so different companies in a supply chain can share technical secrets and data safely. It acts like a GPS for production, warning managers when a change might cause chaos and suggesting the best way to pivot.
Manufacturers struggle to maintain high production rates and quality when forced to change product lines or face supply chain shocks. The lack of trusted, interoperable data sharing makes these transitions slow and expensive.
An open data-sharing platform based on Gaia-X/IDS, a resilience assessment toolbox, and Digital Twin tools for 'what-if' scenario analysis.
If you are a parts supplier dealing with frequent product design changes—this project developed a Digital Twin and data-sharing platform that allows for faster reconfiguration of production steps. This reduces the cost of adjusting process parameters when a new product evolves.
If you are a manufacturer dealing with supply chain disruptions—this project developed a resilience assessment toolbox that helps detect the need for reconfiguration early. This ensures you can withstand difficult situations without significant extra costs.
If you are a manufacturer dealing with interoperability barriers between partners—this project developed a platform based on Gaia-X and IDS for secure data exchange. This allows for automated adjustments and 'what-if' scenario analysis across the value chain.
Based on available project data, specific pricing or licensing costs for the end-user are not mentioned; the project was funded by an EU contribution of EUR 8,078,631.
Yes, the project utilizes Gaia-X and International Data Spaces (IDS) technologies, which are designed for horizontal data-sharing across wide supply chain networks.
Based on available project data, the specific IP and licensing terms are not detailed, though it aims to provide an open platform for production networks.
It uses the Asset Administration Shell (AAS) to implement reconfiguration practices inside the factory and links to specialized hardware.
The project period runs from 2023-01-01 to 2025-12-31.
The consortium is heavily industry-driven with a 65% industry ratio, comprising 11 industrial partners including 8 SMEs. This strong commercial presence, balanced by 4 universities and 1 research center across 6 countries, suggests the results are designed for immediate practical application rather than theoretical research.
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