To achieve Agility in manufacturing – embrace Variability – Part 1
Posted 1667 days ago
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See how predictive analytics in drying operations cut energy use and waste
reduction in moisture variability
reduction in energy consumption
Overall Productivity through cycle time reduction
Throughput through cycle time reduction
Industry:
Food & Beverage
Location:
USA
Over-drying led to high energy consumption
Final moisture variability caused quality issues
No predictive analytics in drying operations
Lacked dynamic control for drying process optimization
The plant achieved 20% tighter moisture control in food, while reducing drying energy use by 17%. Predictive analytics in drying operations helped optimize setpoints, reduce over-drying, and increase product consistency and customer satisfaction.
Real-time data contextualization across drying, quality, and equipment systems.
Quartic helped us reduce moisture variability while cutting energy costs. Our team now trusts the process every cycle.
