Imagine a factory that can spot a mistake the moment it happens and fix itself automatically. It uses a digital twin—like a virtual mirror of the assembly line—to predict errors before they occur. By using smart sensors and AI, it ensures every product is made perfectly the first time, cutting down on scrap and energy waste.
Manufacturers struggle to maintain high production rates and quality while reducing energy use and material waste. Current quality checks are often external add-ons rather than integrated parts of the production process.
An open digital platform integrating non-destructive inspection (NDI) software apps and digital twin services for real-time quality control.
If you are a supplier dealing with high rework rates in steel suspension arms—this project developed an open platform that uses non-destructive inspection to identify defects online. This allows for real-time process adaptation to ensure first-time-right production.
If you are a battery producer dealing with strict quality requirements and material waste—this project developed digital twin services that simulate 'as-designed' versus 'as-implemented' data. This helps prevent defects and improves production sustainability.
If you are a wood-based panel plant dealing with inconsistent raw material quality—this project developed data-driven quality assessment techniques. This enables online defect detection to reduce waste and maximize ROI.
Based on available project data, no specific pricing or licensing costs are mentioned; it is described as an 'open digital platform'.
Yes, the project is designed to demonstrate the platform in 5 representative production lines across Europe, covering various automation levels and sectors.
Based on available project data, the project focuses on an 'open platform' and uses open standards like RAMI 4.0 and Asset Administration Shell, but specific IP terms are not provided.
It uses the Asset Administration Shell (AAS) and RAMI 4.0 to ensure interoperability and integration within cyber-physical production systems.
The project period runs from 2022-06-01 to 2025-11-30, with final integrated platform versions expected by the end of the term.
The consortium is heavily weighted toward industrial application, with 14 industry partners (70% of the group) and 4 SMEs. This high industry concentration, spanning 7 countries, suggests the project is driven by commercial needs rather than pure theory, focusing on practical deployment in sectors like automotive, glass, and batteries.
Contact PANEPISTIMIO PATRON in Greece
Contact us to explore integration of openZDM standards into your production line.
