Maple Leaf Foods: From Batch Variability to 100% Golden Batches
ROI achieved in 3 months from reduced waste and improved yield Maple Leaf Foods needed a way to improve performance across batches — not by analyzing more data, but by running each batch in alignment with its current conditions. By changing how the process is run during production, they turned batch-to-batch variability into consistent […]
Avril: From Interpreting Thousands of Parameters to Running the Process in Real Time
Up to 1,000 process parameters per production cycle Avril needed a way to manage increasingly complex production processes — not by analyzing more data, but by keeping processes aligned with current conditions as they run. By changing how processes are operated, they removed the need to interpret hundreds of parameters and gained a more […]
Ofi: Achieving +25% Throughput by Adapting to Real-Time Conditions
+25% throughput achieved within one year on a critical production line Ofi increased yield and throughput by continuously adapting how a critical production line runs as conditions change. Key outcomes +6.5% yield increase within four months +25% throughput improvement through faster, more stable production cycles Reduced variability and more consistent production performance Stronger production economics […]
