考虑原矿和冶金单元的混合和生产过程的线性规划优化

IF 1.5 Q3 GEOSCIENCES, MULTIDISCIPLINARY
M. Farghaly, Mahrous A. M. Ali, Jong-Gwan Kim
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引用次数: 1

摘要

本文讨论了一个可以通过考虑运输成本和冶金分析来优化工厂运营的模型。所有边界条件都是使用从同一矿山不同位置采集的矿石样本设置的。还分析了从矿山到选矿厂、倾倒区和浸出装置的运输情况。从工厂到冶炼厂的运输取决于化验结果,以确保市场准备就绪。我们假设材料的品位因来源而异,因为选矿厂是为处理不同类型的矿石而建的。矿山和加工单位可能相距遥远,因此优化生产至关重要。先前的研究讨论了矿山生产优化,但没有考虑冶金厂。所提出的模型合并了生产系统的所有单元,以确定最优规划解决方案。线性规划使用规划问题的网络公式来考虑采矿和冶金作业的组合。这项技术有助于分析两个主要系统的组合,因此,对偶理论被用于公式化问题。最后的模型被应用于最大限度地降低生产和分销成本。该研究检查了解决方案的准确性及其作为长期规划指标的最优性。
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 blending and production processes considering origin mines and metallurgical units using linear programming rules
ABSTRACT This paper discusses a model that can optimize plant operation by considering transportation cost and metallurgical assays. All boundary conditions were set using ore samples taken from different locations in the same mine. Transportation from the mine to milling plants, dumping areas, and leaching units is also analyzed. Transportation from the mill to the smelter depends on assay results to ensure market readiness. We hypothesize that the grade of the material varies according to its source because milling plants are built to process different types of ore. Mines and processing units may be far apart, and therefore, it is critical to optimize production. Previous studies have discussed mine production optimization but did not consider metallurgical plants. The proposed model merges all units of a production system to determine the optimal planning solution. Linear programming uses network formulations of planning problems to consider a combination of mining and metallurgy operations. This technology is useful for analyzing the combination of two major systems, and hence, the dual theory was used in formulating the problem. The final model was applied to minimize the costs of production and distribution. The study checked the optimality of the solution for accuracy and its use as an indicator for long-term planning.
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来源期刊
Geosystem Engineering
Geosystem Engineering GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
2.70
自引率
0.00%
发文量
11
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