为了最大化全面经济,从金属矿操作增加,截止等级的选择必须认为二是重要方面:钱和在存款的等级分发的空间变化的时间价值。也就是说,截止等级选择一定关于两时空是动态的。完成这些要求的一个最新发达的方法被介绍。在这个方法,存款或在学习下面的它的部分基于采矿方法和样品数据被划分成决定单位。统计等级分发和每个决定单位的等级吨位关系然后基于掉在单位里的样品被计算。当在一个动态编程计划和这个问题的一个阶段被使用向前有活力的编程解决,有它的等级吨位关系的每个决定单位被考虑有最大化在场的全面网络的一个客观函数的基于的算法价值(NPV ) 。一个软件包裹为方法被开发并且在非洲适用于一个地下的铜矿。
In order to maximize the overall economic gain from a metal mine operation, selection of cutoff grades must consider two important aspects: the time value of money and the spatial variation of the grade distribution in the deposit. That is, cutoff grade selection must be dynamic with respect to both time and space. A newly developed method that fulfills these requirements is presented. In this method, the deposit or a portion of it under study is divided into "decision units" based on the mining method and sample data. The statistical grade distribution and the grade-tonnage relationship of each decision unit are then computed based on the samples falling in the unit. Each decision unit with its grade-tonnage relationship is considered as a stage in a dynamic programming scheme and the problem is solved by applying a forward dynamic programming based algorithm with an objective function of maximizing the overall net present value (NPV). A software package is developed for the method and applied to an underground copper mine in Africa.