Case Study: Maple Leaf Foods achieves 100% golden batches with Braincube Real-Time Process Optimization

Maple Leaf Foods achieves 100% golden batches and 12% yield improvement with Braincube

Maple Leaf Foods, a leading Canadian protein producer, faced challenges with batch-to-batch variability at its Heritage Plant. Despite having visibility from systems like MES and a historian, they struggled to translate that data into consistent performance, leading to issues with slicing consistency and conservative cooking settings that reduced yield. They partnered with vendor Braincube to implement its Real-Time Process Optimization solution to address these inefficiencies.

Braincube's solution enabled Maple Leaf Foods to run each production batch based on its actual, current conditions rather than fixed historical settings. This approach was applied across processes including slicing, log preparation, and cooking. The vendor's implementation delivered significant results, including a 12% yield improvement, achieving 100% golden batches consistently, and reducing waste and resource consumption, all of which contributed to a full ROI within just three months.

Maple Leaf Foods