Case Study

Gain a Competitive Edge with Yield & Quality Optimization

Gain a Competitive Edge with Yield & Quality Optimization

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Impact Solution Challenge 1 • Key product line represents ~$100M revenue/yr • Market dominance relies on high quality product • Currently discard 25% due to high standards • Digital cameras used for inspection • Process engineers still must manually inspect - Labor intensive - Error prone • Every correct prediction saves product - Reduces waste - Improves yield and reduces costs • Up to 50% of discards avoided • $8M-$12M conservative savings estimate - ~$1M Month • Maintain extremely high quality standards • Process data captured - Per second temp. in each zone of process - Combined w/ manual reports from engineers • Model production lifecycle with digital twin - Predict # of deformities • Prescriptive optimizer minimizes defects - Optimizes temp. for specific properties - Enhance quali

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