Mining Method Optimization of Gently Inclined and Soft Broken Complex Ore Body Based on AHP and TOPSIS: Taking Miao-Ling Gold Mine of China as an Example

Qinqiang Guo, Haoxuan Yu, Zhenyu Dan and Shuai Li
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Qinqiang Guo: School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Haoxuan Yu: School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Zhenyu Dan: School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Shuai Li: School of Resources and Safety Engineering, Central South University, Changsha 410083, China

Sustainability, 2021, vol. 13, issue 22, 1-14

Abstract: The gently inclined thin to medium thickness ore body under a weak rock stratum is one of the typical difficult bodies to mine. In order to solve the fuzziness, randomness, and uncertainty in the process of mining method optimization for such ore bodies, a multi-level, multi-factor, multi-objective, and multi-index comprehensive evaluation system involving technology, economy, construction, and safety was constructed by combining the analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Taking the Miao-ling gold mine in China as an example, the AHP-TOPSIS comprehensive decision model of mining method optimization is established, the comprehensive superiority degrees of the four mining schemes are 67.57%, 45.07%, 56.07%, and 31.63%, and the upward horizontal drift backfill mining method is determined as the optimal scheme. The method is verified in the actual production of the mine, which not only ensures the safe production of the mine, but also achieves better technical and economic effects. The research results provide a reference for the optimization of mining methods for gently inclined and soft broken complex ore bodies at home and abroad.

Keywords: mining method; soft broken complex ore body; improved AHP; comprehensive evaluation index (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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