Maple Leaf Foods Achieves Competitive Edge with Augmented Reality and Digital Twins

Maple Leaf Foods deployed AI for Process Optimization in Food & Beverage. As reported by rockwellautomation.com: >99% poultry processing accuracy achieved.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
>99%Poultry processing accuracy achieved

Source-reported figures — cited source: rockwellautomation.com

What Maple Leaf Foods was trying to fix

Need to implement advanced automation and digital transformation technology across three facilities to improve OEE, empower workers, and gain competitive advantage in a highly regulated food processing industry.

What Maple Leaf Foods deployed

Guelph plant: Vuforia AR software with Harpak-ULMA machine-based AR experiences. London Poultry plant: FactoryTalk View SE and AssetCentre. Brampton plant: Digital twin for throughput analysis. Collaboration with RidgeTech Automation, Harpak-ULMA and PTC.

Results

Guelph: Improved operator efficiency, training and OEE. London: Enhanced product flow, reduced operating costs, accuracy >99%. Brampton: Better throughput understanding.

Key Takeaways

Multi-site food manufacturers can achieve 99%+ accuracy and OEE improvements by deploying augmented reality for operator training and digital twins for throughput analysis, with each site customized to its specific production challenge.

Evidence for Maple Leaf Foods's Process Optimization deployment

Reported outcome metrics
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