United StatesFood and restaurants2024 – ongoingNestlé
Predictive quality control for Nesquik and Ovaltine powder production
Nestlé's 8-hour Waverly trial saved up to 10% of powder used in jars, according to AVEVA
Problem
Manual control of powder production caused inconsistent moisture and density. Operators sometimes needed extra powder to achieve the desired jar fill level.
Approach
Nestlé used AVEVA Advanced Analytics with CONNECT at its Waverly, Iowa factory. Models trained on historical process and laboratory data predicted powder quality and recommended equipment setpoints. Operators used the recommendations when adjusting production.
Results
Takeaway
The powder-saving result came from a trial. Operators still made equipment adjustments using the model's recommendations.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
AVEVA described Nestlé's predictive models and operator recommendations for powder production. It reported up to 10% powder savings in a trial and 10% less jar-to-jar weight variation.
Full details are in the original sources.