Over the Air · 27 Apr 2023 · 29m
David Vasko, Senior Director of Advanced Technology at Rockwell Automation, discusses how the 120-year-old industrial automation giant de-risks new technologies for enterprise customers who demand 20-year product lifecycles. He details the use of digital twins and AI to optimize manufacturing, citing a specific case where a digital twin-based control system eliminated steel waste in an Australian rolling mill by overcoming operator skepticism. Vasko also explains Rockwell's application of machine learning for predictive maintenance in coffee drying facilities and the strategic importance of sustainability and supply chain resilience.
Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.
Manufacturingincreased available dryers by reducing downtime from 40% to near zero for fouling
Machine learning analyzed sensor data to predict fouling in coffee dryers based on coffee type, enabling precise cleaning schedules and maximizing equipment availability.
“We put machine learning, artificial intelligence on the dryers … we were able to learn what the contribution was. … We can make a determination, precisely when that dryer needed to be cleaned.”
Speaker 1 · Hear it at 17:49
large enterprises
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