Imagine a giant, shared digital map of factories that lets companies rent spare production capacity instantly when their own lines break down. It works like a secure cloud for manufacturing, where businesses share data without giving away their secret recipes. This helps everyone stay productive even when unexpected disasters hit the supply chain.
Manufacturing companies struggle to maintain production stability when unexpected disruptions hit their supply chains. They often lack the tools to quickly find alternative production capacity without risking their private data.
A secure decentralized data space and a Compute-to-Data environment for safe information sharing. It also includes a decision support system for stress-testing and recovering supply chains.
If you are a parts supplier dealing with sudden supply chain breaks — this project developed a decision support system that helps you reconfigure production and recover quickly to maintain delivery schedules.
If you are a lab manufacturer dealing with rigid production lines — this project developed a Manufacturing as a Service setup that allows you to adapt logistics and production swiftly and economically.
If you are a component producer dealing with data privacy fears when collaborating — this project developed a secure Compute-to-Data environment that lets you share insights without losing control of your intellectual property.
Based on available project data, specific pricing or cost details are not provided as the project is currently in the research and development phase.
Yes, the project is designing a scalable decentralized data space architecture and validating it across 3 pivotal use cases in sectors like aerospace and automotive.
The system uses a federated, trusted data space that allows organizations to collaborate while retaining full sovereignty over their sensitive data and intellectual property.
Based on available project data, the project period runs from 2023-12-01 to 2026-11-30, indicating the development timeline for these tools.
It uses an open, standard-based federated data space to integrate data flows, models, and tools across different actors in the manufacturing value chain.
The consortium is heavily industry-driven with a 55% industry ratio, comprising 6 industrial partners and 4 SMEs. This strong commercial presence, combined with 3 universities and 2 research centers across 6 countries, suggests the results are being built for immediate commercial utility rather than pure academic study.
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