Food producers are now modeling traditional maintenance data, such as vibration and frequency, and executing machine learning in the cloud with digital twin simulations. Anomalies are being modeled while also providing advanced analytics, reducing downtime and repurposing staff.
At the 2025 Automation Fair, Rockwell Automation CEO Blake Moret noted that manufacturers are enhancing efficiency with automation and AI. Food manufacturers use digital twin and cloud platforms for predictive maintenance, reducing workloads and improving visibility. This article covers strategies for effective implementation.
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From machine vision and predictive maintenance to digital twin simulations and connected worker platforms, cutting-edge automated systems are redefining what’s possible in food manufacturing.
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