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A literature review of Multi Criteria Decision-Making (MCDM) towards mining method selection (MMS)

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  • Namin, Farhad Samimi
  • Ghadi, Aliakbar
  • Saki, Farshad

Abstract

Mining Method Selection (MMS) is one of the important decisions in the mining design. The appropriate decision guarantees economic exploitation and an unsuitable selection may lead to mining losses. The decision on mining method depends on several parameters such as geometric factors, geotechnical, geological conditions, economic and environmental factors, etc. The past decades, empirical models were using to select the mining method. There are shortcomings with empirical models, such as limitations in the number of criteria and options, decision-making in crisp and certain situations, unclear answers and dependence on experience and so on. The using of Multi Criteria Decision Making (MCDM) has been considered to select the best mining method recently. In this research, a comprehensive literature review are presented in order to uncover and interpret the current research on MCDM applications in MMS. For this purpose, a reference bank has been established based on a classification scheme which includes 55 research papers already published in 18 scholarly journals up to 2020. Quartile Scores in the web of knowledge (Q) was used for validation of the articles. Distribution of the articles throughout the world and according to different ore bodies was also evaluated. Results showed that AHP and TOPSIS were the most preferred methods used in selection of the mining methods. Fuzzy decision making has recently gained more importance for consideration of uncertainty. Also, the important role of criteria in different ores is presented as a guide for MMS.

Suggested Citation

  • Namin, Farhad Samimi & Ghadi, Aliakbar & Saki, Farshad, 2022. "A literature review of Multi Criteria Decision-Making (MCDM) towards mining method selection (MMS)," Resources Policy, Elsevier, vol. 77(C).
  • Handle: RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001246
    DOI: 10.1016/j.resourpol.2022.102676
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    References listed on IDEAS

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    1. Wu, Xingli & Liao, Huchang, 2019. "A consensus-based probabilistic linguistic gained and lost dominance score method," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1017-1027.
    2. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1986. "How to select and how to rank projects: the Prométhée method," ULB Institutional Repository 2013/9307, ULB -- Universite Libre de Bruxelles.
    3. Brans, J. P. & Vincke, Ph. & Mareschal, B., 1986. "How to select and how to rank projects: The method," European Journal of Operational Research, Elsevier, vol. 24(2), pages 228-238, February.
    4. F Samimi Namin & K Shahriar & A Bascetin & S H Ghodsypour, 2012. "FMMSIC: a hybrid fuzzy based decision support system for MMS (in order to estimate interrelationships between criteria)," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(2), pages 218-231, February.
    5. Dragisa STANUJKIC & Edmundas Kazimieras ZAVADSKAS & Darjan KARABASEVIC & Florentin SMARANDACHE & Zenonas TURSKIS, 2017. "The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 116-133, December.
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    1. Tsai, Pei-Hsuan & Tang, Jia-Wei, 2023. "Consumers' switching intention towards E-commerce platforms’ store-to-store pickup services: The application of the extended PPM model," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    2. Chen, Xiaohong & Yang, Shuhan & Hu, Dongbin & Li, Xihua, 2024. "Sustainable mining method selection by a multi-stakeholder collaborative multi-attribute group decision-making method," Resources Policy, Elsevier, vol. 92(C).
    3. Patrycja Bąk & Marian Czesław Turek & Łukasz Bednarczyk & Izabela Jonek-Kowalska, 2024. "The Optimal Transportation Option in an Underground Hard Coal Mine: A Multi-Criteria Cost Analysis," Resources, MDPI, vol. 13(1), pages 1-27, January.
    4. Aleksandr Rakhmangulov & Konstantin Burmistrov & Nikita Osintsev, 2024. "Multi-Criteria System’s Design Methodology for Selecting Open Pits Dump Trucks," Sustainability, MDPI, vol. 16(2), pages 1-34, January.
    5. Rouhani, Mohammad Matin & Namin, Farhad Samimi, 2023. "Investigate the potential of using fuzzy similarity in decision making under uncertainty for mining projects," Resources Policy, Elsevier, vol. 86(PA).
    6. Jahanbani, Zeinab & Ataee-pour, Majid & Mortazavi, Ali, 2024. "Application of Z-numbers theory to study the influencing criteria in underground mining method selection," Resources Policy, Elsevier, vol. 88(C).

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