Long-term production scheduling optimization and 3D material mixing analysis for block caving mines

IF 1.8 Q3 MINING & MINERAL PROCESSING
F. Khodayari, Y. Pourrahimian
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引用次数: 7

Abstract

ABSTRACT Although some scheduling optimization models can be found in the literature, few of them include material flow and the resulting dilution. In this paper, a 3D mixing methodology is proposed to be incorporated into the production schedule model. To capture horizontal and vertical mixing, different scenarios are generated based on the particles that fall into a 3D cone of movement, CoM. The proposed model is a block caving scheduling optimizer, BCSO, which includes mixing in the optimization. The BCSO was tested on a real-case block caving mine with 424 drawpoints; also, a number of production schedules were generated for the same mine using PCBC GEOVIA software. Resulting production schedules show that the BCSO can improve the NPV of the project by 2% to 4% compared to the best case generated by PCBC.
块状崩落矿长期生产调度优化及三维混料分析
虽然在文献中可以找到一些调度优化模型,但很少有模型包括物料流和由此产生的稀释。本文提出了一种将三维混合方法纳入生产计划模型的方法。为了捕捉水平和垂直的混合,不同的场景是基于粒子落在一个三维的运动锥,CoM生成的。提出的模型是一个包含混合优化的块崩落调度优化器BCSO。在一个具有424个抽点的块状崩落矿中对BCSO进行了实际测试;此外,还使用PCBC GEOVIA软件为同一矿山生成了许多生产计划。由此产生的生产计划表明,与PCBC产生的最佳情况相比,BCSO可以将项目的NPV提高2%至4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
5
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