Mine-to-Mill Feedback Loop Audit Checklist

The Mine-to-Mill (MtM) feedback loop represents a paradigm shift from siloed mine and mill operations toward integrated value chain optimization. At its core, it relies on bidirectional information flow: orebody knowledge (e.g., grade, hardness, mineralogy) from drill-core assays, blast fragmentation analysis, and muckpile characterization informs mill feed scheduling, crusher settings, and reagent dosing; conversely, mill performance metrics—such as throughput, grind size distribution (P80), recovery rates, and circuit bottlenecks—are fed back to geologists and mine planners to refine block models, blast design, and selective mining strategies. Effective implementation requires robust data infrastructure—including interoperable SCADA, LIMS, GIS, and MES systems—as well as standardized data ontologies, timely assay turnaround (<24–48 hrs), and cross-disciplinary governance (e.g., MtM steering committees). The audit checklist evaluates not only technical capabilities (e.g., sensor coverage, data latency, model fidelity) but also organizational enablers—such as shared KPIs (e.g., 'tonnes of 95% recoverable ore processed'), joint training protocols, and documented feedback response workflows. Ultimately, a mature MtM loop reduces variability in mill feed, improves predictability of metal recovery, lowers specific energy consumption, and extends equipment life by mitigating unplanned surges or slimes generation.