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DETERMINATION OF A MINING CUTOFF GRADE STRATEGY BASED ON AN ITERATIVE FACTOR

机译:基于迭代因子的矿业截止级策略的确定

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One of the most difficult problems in mining operation is how to determine optimum cutoff grades of ores at different periods over the lifespan of the mine that will maximize the net present value (NPV) of the mine. Cutoff grade optimization maximizes the NPV of a project subject to capacity constraints in the mine, mill and the market.. This paper describes the determination of a cutoff grade strategy based on K. Lane's algorithm adding an iterative optimization factor calculated for every year during the live of the mine to maximize the project's NPV. The introduced algorithm is a windows based program developed at Virginia Tech which coded in visual-basic within a spreadsheet environment (Excel). The resulting cut-off windows based program is a user-friendly tool which calculates interactively different mining cutoff grade scenarios. The benefits of the methodology are demonstrated using a hypothetical case study. The authors have observed an improvement of the total NPV using this iterative approach using a year by year optimization factor.
机译:采矿操作中最困难的问题之一是如何在矿井的寿命上确定不同时期的最佳截止等级,这将最大化矿井的净目前值(N​​PV)。截止级优化最大化了矿山,轧机和市场的容量限制的项目的NPV。本文介绍了基于K.巷算法的截止级策略的确定,增加了每年计算的迭代优化因子矿山的生活,以最大化项目的NPV。引入的算法是在弗吉尼亚理工学院开发的基于Windows的程序,在电子表格环境(Excel)中以Visual-Basic编码。由此产生的截止窗口基于Windows的程序是一种用户友好的工具,其以交互方式计算不同的挖掘等级场景。使用假设的案例研究证明了方法的益处。作者已经观察到使用这一迭代方法的总NPV的改善,每年逐年优化因子使用这一迭代方法。

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