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CreiAmo Live Meeting | Predictive Quality Control: measuring light in Predictive Quality

Innovation in quality management: predictive control

 

Optimization of production processes through advanced technologies

The new competitive scenario demands better, faster and more efficient performance. Failing to achieve the total quality level of one's products means failing to develop and defend one's competitive advantage in today's and tomorrow's markets.

It is estimated that on average, Cost Of Poor Quality amounts to about 15%-20% of sales. Predictive quality has become a Key Success Factor to reduce the cost of non-quality and improve customer service level.

Industry 4.0 technologies available today offer performance solutions for:

  • To cancel the costs of verification and control on products at the end of production and the costs of handling internal and external nonconformities;
  • harmonize the production batches for a RTY (Rolled Throughput Yeld or % of First-Time Vouchers) virtually equal to 100%;
  • Increase product margins by reducing nonconformity costs.

Fabrizio Preda, CEO of Nireos e Corrado Di Perna, Project Leader at Bonfiglioli Consulting, will present Industry 4.0 Predictive Quality solutions through real application cases for:

  • Optimize the use of materials
  • Quickly isolate defects by identifying when and where in the production process they occurred
  • Significantly improve the performance of the resources involved.

During the live streaming, participants will be able to interact with Q&A sessions to request insights.

Duration

1 hour | 4 to 5 p.m.

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NIREOS, a spin-off of Politecnico di Milano, is a start-up company that develops and commercializes high-tech products in the field of photonics and spectroscopy, for the generation, control, detection and analysis of light.

He has numerous awards to his credit for developing spectroscopy solutions for innovative industrial and scientific applications with unparalleled performance in terms of accuracy, stability and spectral working range.

Scientific research laboratories and industry can, thus, harness the power of spectroscopic analysis to monitor the quality of their processes and the properties of their products.