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Kerry Turns to ‘Cruise Control’ Technology to Optimize Dryer Performance

To support its quality, efficiency, and sustainability goals, Kerry implemented model predictive control technology at its Rothschild, Wis., facility. The system helped improve efficiency at the site, solving dryer blockages that had caused about 145 hours of lost production in 2023.

The Pavilion8 MPC can monitor machine data over time and compute the settings needed for optimal performance.
The Pavilion8 MPC can monitor machine data over time and compute the settings needed for optimal performance.
Rockwell Automation

No food producer wants to leave efficiency on the table, and adaptability is key to reliably finding those efficiency wins.

Sustainable nutrition company Kerry demonstrated this when it implemented Rockwell Automation’s FactoryTalk Analytics Pavilion8 Model Predictive Control (MPC) on evaporators and spray dryers at its Rothschild, Wis., facility, Kerry representatives explained at Rockwell’s Automation Fair in November. The software optimized spray dryer and evaporator performance for whey permeate production at the facility, helping to eliminate about 145 hours of lost production due to CIP each year.

Implementing the MPC enabled a 21% increase in spray dryer efficiency and better consistency between shifts, Aleisha Jaeger, Senior Director of Engineering for Foundational Technology at Kerry Group, shared at the event. “Calculations were conservative. We had an ROI of five months, versus an anticipated two years to get this online,” she added.

How the MPC works

An MPC acts as a “cruise control” applied on top of existing regulatory control systems, computing the optimal settings to accrue performance over time, and applying those settings to control systems, according to Scott Jost, Director of Industrial Data Science for Kalypso: A Rockwell Automation Business.

An MPC balances three types of variables, Jost explained. They include:

  • Controlled variables which are set to hit specific targets.
  • Manipulated variables that operators typically adjust, like temperatures or flow rates.
  • Disturbance variables, which impact the process but can’t be moved, so they must be accounted for.

The MPC predicts the settings needed to improve machine performance, and can apply them to optimize operations.The MPC predicts the settings needed to improve machine performance, and can apply them to optimize operations.Rockwell Automation“We use a solver to predict the best future path, how to move from where we are now to where we want to be, to get things into a more economic position,” said Jost. “The model predictive control actually coordinates all of these things in concert to basically push us toward the most economical operations.”


Kerry first started working with Rockwell’s MPC technology with a pilot in 2022, Jaeger said. “From there, we did a rack and stack of our remaining dryers in North America, and decided which ones would be best suited for this after the pilot. We looked at things like operations, duration, age, infrastructure, profitability, margins, and a handful of other metrics, and Rothschild provided the best opportunity,” she said. Implementation at the Rothschild facility began in early to mid 2024, with full results realized by early 2025.

From blockages to consistent performance

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