Fermenter 6 consistently underperformed the others with elevated contamination and batch-to-batch instability. The plant knew performance was uneven, but the root cause of the chronic underperformance was not understood. AI-driven baselining and sensitivity testing informed and validated specific operating parameter adjustments that reduced variability, controlled contamination, and strengthened fermentation consistency across the system.
