通过动态编程优化边界品位和贫化率

Eximia Pub Date : 2024-06-12 DOI:10.47577/eximia.v13i1.483
Erhan Cetin, Abdurrahman Dalgic
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引用次数: 0

摘要

确定边界品位对矿山评估至关重要。由于资金的时间价值,必须使用最佳的边界品位表,而不是确定矿山寿命期内的单一边界品位。为了实现最大净现值,必须使用递减的边界品位表,因为这涉及到机会成本。在通过动态编程优化边界品位时,需要搜索的贫化率实际上限制了搜索区域。可以从备选贫化率中找到最佳值。矿产品的销售价格是不稳定的,未来的价值也无法得知。本文介绍了截止品位优化中动态程序设计的使用,以及该方法在矿产品销售价格波动方面的进一步扩展。作者介绍了在边际品位优化中使用动态编程的一般背景以及不确定市场条件下的情况。该课题开发的软件可以在市场不确定的情况下,为矿床找到最佳的边界品位和贫化率序列。在这种情况下,动态编程方法可以非常稳健地用作边界品位优化的一种手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of cut-off grades and depletion rates by means of dynamic programming
The determination of cut-off grades is critical for mine appraisal. Because of the time value of money, an optimum schedule of cut-off grades must be used instead of determination of a single cut-off grade for the life of a mine. In order to achieve the maximum net present value, a decreasing order of cut-off grades schedule must be used because of the opportunity cost. In the optimization of cut-off grades by dynamic programming, the depletion rates to be searched are actually limiting the search area. The optimum can be found from among the alternative depletion rates. Selling prices of mining products are volatile and future values cannot be known. This paper describes the use of dynamic programming in cut-off grades optimization and further extension of the method to price volatility in selling prices of mining products. The author introduces the general background of use of dynamic programming in cut-off grades optimization and the case in uncertain market conditions. Software developed in this subject handles to find the optimum sequence of cut-off grades and depletion rates for mineral deposits under market uncertainty. Dynamic programming method can be used as a means of cut-off grades optimization in this context very robustly.
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