AIoT Digital Product Passport - COROB Case

PROGRAM

EU Innovation Action

INDUSTRY

Advanced Manufacturing · Robotics · Additive Manufacturing

ORGANIZATION

Multi-partner EU Consortium

COUNTRY

Europe-wide

COROB – GAD_DPP

AIoT-Driven Digital Product Passport for Advanced Manufacturing

This project has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101120640 (COROB)

This project highlights how AI, IoT, and standardized digital frameworks can transform complex manufacturing data into trusted, regulation-ready Digital Product Passports. Through COROB – GAD_DPP, The Data Cooks contributed to enabling transparent, intelligent, and future-proof manufacturing ecosystems.

The challenge

Modern manufacturing processes such as Arc Welding and Wire Arc Additive Manufacturing (WAAM) generate large volumes of high-frequency production data. However, this data is rarely transformed into structured, traceable, and regulation-ready product information. Manufacturers struggle to link process-level data with product-level documentation, making it difficult to ensure transparency, quality traceability, and compliance with emerging Digital Product Passport (DPP) requirements. Existing systems lack standardization, interoperability, and real-time accessibility.

The Solution/Added Value

Within the COROB project, the GAD_DPP solution was developed as an AIoT-enabled Digital Product Passport platform that converts raw manufacturing data into standardized, machine-readable product passports. The system captures per-cycle production data, enriches it with AI-driven analytics, and structures it according to Asset Administration Shell (AAS) principles.

Key added values of the solution include:

End-to-End Product Traceability
Real-time collection and structuring of welding and WAAM process data into Digital Product Passports, enabling full lifecycle transparency.
AI-Enriched Manufacturing Insights
Per-cycle analytics and quality-related indicators provide deeper insight into production behavior and product characteristics.
Standards-Aligned & Interoperable Design
The solution follows AAS and DPP-aligned data models, ensuring compatibility with future regulatory and industrial ecosystems.
Validated for Industrial Readiness
The platform was validated end-to-end in a cloud environment, achieving TRL 6–7 and demonstrating readiness for pilot scaling and commercialization.