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Monte Carlo Analytic Hierarchy Process (MAHP) approach to selection of optimum mining method

机译:蒙特卡罗层次分析法(MAHP)选择最佳采矿方法

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摘要

One of the most critical and complicated steps in mine design is a selection of suitable mining method based upon geological,geotechnical,geographical,safety and economical parameters.The aim of this study is developing a Monte Carlo simulation to selection the optimum mining method by using effective and major criteria and at the same time,taking subjective judgments of decision makers into consideration.Proposed approach is based on the combination of Monte Carlo simulation with conventional Analytic Hierarchy Process(AHP).Monte Carlo simulation is used to determine the confdence level of each alternative’s score,is calculated by AHP,with the respect to the variance of decision makers’opinion.The proposed method is applied for Jajarm Bauxite Mine in Iran and eventually the most appropriate mining methods for this mine are ranked.

著录项

  • 来源
    《矿业科学技术(英文版)》 |2013年第4期|573-578|共6页
  • 作者单位

    Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Semnan 36155-316, Iran;

    Faculty of Mining Engineering, Kordestan University, Sanadaj, Iran;

    Faculty of Mining Engineering, Uromia University of Technology, Uromia, Iran;

  • 收录信息 中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-18 01:03:12
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