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首页> 外文期刊>Journal Of The South African Institute Of Mining & Metallurgy >Optimizing open-pit block scheduling with exposed ore reserve
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Optimizing open-pit block scheduling with exposed ore reserve

机译：利用裸露的矿石储量优化露天矿调度

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A crucial problem in the open pit mining industry is to determine the optimal block scheduling, defining how the orebody will be sequenced for exploitation. An orebody is often comprised of several thousand or million blocks and the scheduling models for this structure are very complex, giving rise to very large combinatorial linear problems. Operational mine plans are usually produced on a yearly basis and further scheduling is attempted to provide monthly, weekly, and daily schedules. A portion of the ore reserve is said to be exposed if it is readily available for extraction at the start of the period. In this paper, an integer programming (IP) model is presented to generate pit designs under exposed ore reserve requirements, as an extension of the classical optimization models for mine planning. For this purpose, we introduce a set of new binary variables, representing which blocks can be declared as exposed ore reserve, in addition to the extraction and processing decisions. The model has been coded and tested in a set of standard instances, showing very encouraging results in the generation of operational block schedules.
机译：露天采矿业中的一个关键问题是确定最佳块调度，定义如何对矿体进行排序以进行开采。矿体通常由几千或上百万个块组成，并且该结构的调度模型非常复杂，从而导致非常大的组合线性问题。矿山运营计划通常是每年制定一次，并尝试进一步制定时间表，以提供每月，每周和每天的时间表。如果在该时期开始时很容易提取矿石，则说一部分矿石储量是裸露的。在本文中，提出了一种整数规划（IP）模型，以在裸露的矿石储量要求下生成矿井设计，作为矿山规划经典优化模型的扩展。为此，我们引入了一组新的二进制变量，这些二进制变量表示除了提取和处理决策外，哪些块可以声明为裸露的矿石储量。该模型已在一组标准实例中进行了编码和测试，在生成操作块计划中显示出令人鼓舞的结果。

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