Traditional pit design methods miss value by separating geometry and economics. Alexey Tsoy’s research proved that MiningMath’s Single-step Mine Optimization integrates all constraints in one model, delivering up to 50% higher NPV in open-pit mine planning.

This report summarizes an academic study that applied advanced mine planning methodologies to the La Cocota deposit, a large copper porphyry in northern Chile. The research quantitatively and rigorously compared traditional planning techniques with the more recent Direct Block Scheduling (DBS) approach, a concept equivalent...

Mine planning is more than just defining pit shells and sequences. It involves navigating a range of variables—geology, economics, processing capacity, and operational limitations. MiningMath solves key inefficiencies in conventional mine planning. At the heart of its solution is a custom Branch & Cut algorithm,...

Mine planning is more than just defining pit shells and sequences. It involves navigating a range of variables—geology, economics, processing capacity, and operational limitations. MiningMath solves key inefficiencies in conventional mine planning. At the heart of its solution is a custom Branch & Cut algorithm,...

MiningMath solves destination optimization through a global, single-step optimization approach that integrates destination decisions with long-term scheduling. Instead of analyzing each block or period in isolation, it evaluates all possible destinations, such as processing, stockpiles, or waste, across the entire mine life. It considers operational...