A Novel Large-Scale Stochastic Pushback Design Merged with a Minimum Cut Algorithm for Open Pit Mine Production Scheduling

Traditional optimization of open pit mine design is a crucial component mining endeavors and influenced by many variables. The critical factor in the geological uncertainty, which relates to ore grade. To deal with uncertainties related block economic values blocks general problem optimization, under unknown conditions, best ultimate limits pushback designs are produced minimum cut algorithm. push–relabel minimal algorithm provides framework for computationally efficient representation processing multiple scenarios. A sequential Gaussian simulation-based smoothing spline technique was created. produce pushbacks, an parameterized suggested. An analysis Indian iron performed. developed scheduling compared conventional algorithm, results show that when uncertainty considered, cumulative metal production higher there additional increase about 5% net present value. this work help industry plan mines such way can generate maximum profit from deposits.