Predictive Quality Management - M4M Automotive Case

PROGRAM

EU Innovation Action

INDUSTRY

Automotive · Manufacturing · Quality Management

ORGANIZATION

Multi-partner EU Consortium

COUNTRY

Europe-wide

M4M – PQM4A

AI-Driven Predictive Quality Management for Automotive Manufacturing

This project has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101005711 (MIND 4 MACHINES)

This project demonstrates how AI-powered predictive quality management can transform quality control from a reactive cost center into a proactive, value-driven capability. Through M4M – PQM4A, The Data Cooks contributed to building resilient, data-driven, and future-ready automotive manufacturing systems.

The challenge

Automotive manufacturing involves highly complex, high-volume production processes where quality issues often emerge only after defects have already occurred. Traditional quality control approaches are largely reactive, relying on post-production inspection and static statistical methods. This results in scrap, rework, delayed root-cause identification, and limited visibility across suppliers and production stages, reducing overall efficiency and resilience.

The Solution/Added Value

Within the M4M project, the PQM4A solution was developed as an AI-driven, IIoT-enabled Predictive Quality Management platform that continuously analyzes production data to detect deviations before they result in defects. The solution integrates advanced AI models with real-time industrial data to enable proactive, cross-company quality optimization.

Key added values of the solution include:

Predictive Quality Intelligence
AI models such as Process Cycle Analysis, SPC i4.0, and Adaptive Sampling identify early signals of quality deterioration in real time.
Reduced Scrap and Rework
Early anomaly detection enables timely interventions, significantly lowering defect rates and material waste.
Cross-Company Quality Visibility
The platform supports data sharing and quality insights across OEMs and suppliers, strengthening supply-chain collaboration.
Industrial Validation & Scalability
The solution was validated in operational automotive environments, achieving TRL 7 and demonstrating readiness for industrial scaling and commercialization.