NEED for AI:
Quality inspection at the end of the production line, leading to high costs and waste in traditional manufacturing.
AI REGIO SOLUTION:
Quality control and monitoring system based on smart Digital Twins (DTs) that can predict the evolution of products along the manufacturing line in real-time, update critical product KPIs, monitor the process, and adjust process parameters to ensure zero-defect production. The system will use advanced sensors for real-time feedback between the DT and the production line, preventing the generation and propagation of defects.
Reduction of machine downtime and increase in labor productivity
Improvement of manufacturing throughput and decrease in the cost of quality
Reduction of environmental impact by decreasing waste and scrap
Implementation of new and green inspection procedures to increase the fraction of right-at-the-first-time products and reduce expensive off-line measure-rework-assess cycles
SelfTwin proposes a quality control system based on smart Digital Twins. It predicts product evolution and adjusts process parameters to prevent defects. The aim is zero-defect manufacturing for higher product quality.