Optimized algorithm in mine production planning, mined material destination, and ultimate pit limit

An integral connection exists among the mine production planning, the mined material destination, and the ultimate pit limit (UPL) in the mining engineering economy. This relation is reinforced by real information and the benefits it engenders in the mining economy. Hence, it is important to create optimizing algorithms to reduce the errors of economic calculations. In this work, a logical mathematical algorithm that considers the important designing parameters and the mining economy is proposed. This algorithm creates an optimizing repetitive process among different designing constituents and directs them into the maximum amount of the mine economical parameters. This process will produce the highest amount of ores and the highest degree of safety. The modeling produces a new relation between the concept of the cutoff grade, mine designing, and mine planning, and it provides the maximum benefit by calculating the destination of the ores. The proposed algorithm is evaluated in a real case study. The results show that the net present value of the mine production is increased by 3% compared to previous methods of production design and UPL.摘要在采矿工程经济中,矿山生产计划、开采材料目的地和最终开采极限(UPL)之间存在着整体 的联系,而实际信息及其在采矿经济中产生的效应会加强这种联系,因此,建立优化算法来减少经济 计算的误差是非常重要的。本文提出一种考虑重要设计参数和经济性的逻辑数学算法,该算法在不同 的设计成分之间建立了一个优化的重复过程,并使其将矿山经济参数最大化,产生最大的矿石量和最 高的安全度。该模型在截止品位、矿井设计和矿山规划之间建立了新的关系,并通过计算目标提供了 最大的效益。结果表明:与以往的生产设计和生产方法相比,矿山生产的净现值提高了3%。