Mutual constraints and interdependencies make scheduling in underground mines difficult, making many mathematical optimization methods inefficient. The article discusses an approach to scheduling underground mining operations based on maintaining work-in-progress buffers and iterative adjustment of the plan using a simulation model. The key advantage of the proposed approach is the ability to consider the probabilistic factors inherent in the real world.