A Novel Approach to Integrating Uncertainty into a Push Re-Label Network Flow Algorithm for Pit Optimization

The standard optimization of open-pit mine design and production scheduling, which is impacted by a variety factors, an essential part mining activities. metal uncertainty, connected to supply crucial component in optimization. To address uncertainties regarding the economic value blocks general problem optimization, minimum-cut network flow algorithm employed give optimal ultimate pit limits pushback designs under uncertainty. A structure that computationally effective can manage joint presentation treatment values various circumstances created push re-label technique. In this study, put test using copper deposit shows similarities other stochastic optimizers for planning have already been created. Higher possibilities reaching predicted targets are algorithm’s earlier selection more certain with high value. Results show that, comparison conventional approach same algorithm, cumulative output larger when uncertainty content taken into consideration. There also additional 10% gain net present