Quality Optimization – Process Chemicals

Use Case by Flutura

Supported Industries: Chemicals

Summary

Challenges

  • End customers continue to demand improved quality specifications from manufacturers
  • Visibility to true root cause of quality issues in process manufacturing batches is limited and manufacturers still operate in a post facto manner
  • Offspec products increase costs due to reprocessing, reduce yields, and create challenges with customers and brand reputation
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Transformation Results

  • Cerebra’s machine learning models predict probable quality segment of the end product from manufacturing.
  • Move from post facto analysis to true defect prevention.
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Value

  • Yield improvement and cost reduction from improved quality batches and defect avoidance
  • Improve customer loyalty and brand impressions with higher quality production outcomes
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