Underground production scheduling optimization with ventilation constraints
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Underground production scheduling has traditionally been a time-consuming, manual task in which the goal is to achieve corporate- or operation-defined production targets. This dissertation presents a generalized, mathematical formulation that results in a large-scale integer optimization model. The model maximizes discounted gold ounces mined and determines the optimal or near-optimal sequence of activities related to the development, extraction and backfilling of an underground mine. Constraints include physical precedence and resource capacities. The research uses data from an existing ...