Accelerate Responsiveness Through Autonomous Control for Food and Beverage Manufacturing

Autonomous closed-loop control uses real-time data, predictive models, and automated adjustments to maintain consistent quality, yield, and throughput with minimal manual intervention.

1. Sense: Live data is captured continuously from equipment and key process parameters
2. Predict: AI and predictive models anticipate deviations before they impact quality or throughput
3. Adjust: The controller makes automatic corrections in real time to maintain optimal performance
4. Stabilize: Output remains consistent, even as raw materials, recipes, or operating conditions change

MPC continuously evaluates current and predicted process data to anticipate deviations and automatically adjust setpoints, stabilizing production and reducing off-spec output.

These systems reduce variability, minimize product giveaway and waste, improve throughput, and enable faster, more confident decision-making on the plant floor.

Solutions like FactoryTalk DataMosaix, LogixAI, and Plex MES unify data across lines and sites, providing contextualized insights to deploy AI/ML models and scale closed-loop optimization.

Manufacturers face increasing pressures that make autonomous, closed-loop control more critical than ever:

• Energy volatility: Rising and unpredictable energy costs demand more efficient operations
• Ingredient variability: Fluctuations in raw material quality impact consistency and yield
• Product complexity: Growing SKU counts require faster, more precise control across lines
• Workforce shortages: Limited experienced staff make automated responsiveness essential
• Sustainability pressures: Reducing waste and optimizing resources are key to meeting environmental goals

Adopting autonomous control helps manufacturers respond instantly to these challenges while maintaining quality, efficiency, and operational resilience.