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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Long-Term Room and Pillar Mine Production Planning Based on Fuzzy 0-1 Linear Programing and Multicriteria Clustering Algorithm with Uncertainty
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Long-Term Room and Pillar Mine Production Planning Based on Fuzzy 0-1 Linear Programing and Multicriteria Clustering Algorithm with Uncertainty

机译：基于模糊0-1线性编程的长期房间和支柱矿山生产规划与不确定性的多轨道聚类算法

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Production planning in an underground mine plays a key activity in the mining company business. It is supported by the fact that mineral industry is unique and volatile environment. There are two uncertain parameters that cannot be managed by planners, metal price, and operating costs. Having ability to quantify and incorporate them in the process of planning can help companies to do their business in much easier way. We quantify these uncertainties by the simulation of mean reverting process and It?-Doob stochastic differential equation, respectively. Mineral deposit is represented as a set of mineable blocks and room and pillar mining method is selected as a way of mining. Multicriteria clustering algorithm is used to create areas inside of mineral deposit that have technological characteristics required by the planners. We also developed a way to forecast the volatility of economic values of these areas through the planning period. Fuzzy 0-1 linear programming model is used to define the sequence of mining of these areas by maximization of the expected value of the fuzzy future cash flow. Model was tested on small hypothetical lead-zinc mineral deposit and results showed that our approach was able to solve such complex problem.
机译：地下矿井生产规划在矿业公司业务中发挥了关键活动。矿产业是独特和挥发性的环境的支持得到支持。有两个不确定的参数，不能由规划师，金属价格和运营成本管理。能够在规划过程中量化和整合它们可以帮助公司以更简单的方式进行业务。我们通过模拟平均恢复过程和ITα-DOOB随机微分方程来量化这些不确定性。矿物沉积物表示为一组可拆碎的块和房间和柱子挖掘方法作为采矿方式。多标准聚类算法用于在具有规划人员所需的技术特征的矿床内部产生区域。我们还开发了一种方法，可以通过规划期预测这些地区的经济价值观波动。模糊0-1线性编程模型用于通过最大化模糊未来现金流的预期值来定义这些区域的挖掘顺序。模型对小假设铅锌矿沉积物进行了测试，结果表明，我们的方法能够解决这些复杂的问题。

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