Data Driven Strategies for Zero Defect Manufacturing

8/24/2021 12:30 - 13:00

  • Early detection of the defect (Z-DETECT)
  • Prediction of the defect generation (Z-PREDICT)
  • Prevention of defect generation by recalibrating the production line (multi-stage), as well as defect propagation in later stages of the production (Z-PREVENT)
  • Reworking/remanufacturing of the product, if this is possible, (Z-REPAIR)
  • Management of the aforementioned strategies through Semantic Data Modeling, quality performance monitoring and real-time decision support using Cognitive Digital Twins (Z-MANAGE)

Prof. Dimitris Kiritsis, Director, Doctoral Program of Robotics Control and Intelligent Systems, EPFL