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Image by Christopher Burns

SelfTwin

Self-aware Twin for Zero Defect

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NEED for AI:

 

Quality inspection at the end of the production line, leading to high costs and waste in traditional manufacturing.

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AI REGIO SOLUTION:

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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.

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EXPECTED BENEFITS:

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  • 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.

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