This paper presents an application of a stochastic framework that simultaneously optimizes mining, blending, stockpiling and processing decisions for a multi-pit, multi-process operation. Geological uncertainty and variability is accounted for through the use of multiple geostatistical orebody simulations. Simultaneous stochastic optimization through this framework is shown to reduce deviations from capacity and blending targets while increasing the operation's net present value, highlighting the ability of stochastic optimizers to generate risk managing forecasts and provide more robust value for stakeholders.
展开▼
