PREDICTIVE QUALITY
Development of a Predictive System for Quality Control in the Automotive Rubber Industry
Project scope: National
Category: Industry 4.0
Technologies involved: Artificial Intelligence, Machine Learning
Application sectors: Automotive
Description
The goal of the project is to develop a digital model that links the quality of the finished product to various production parameters (raw materials, processes, environmental conditions, etc.), enabling a process of continuous improvement that helps optimize lead times, processing steps, and costs.
Participating entities
Benefits
Development of a Predictive System for Quality Control in the Automotive Rubber Industry