Multiple criteria approach in the mining method selection

  • Gabrijela Popovic Megatrend University, Faculty of Management in Zajecar
  • Bojan Djordjevic Faculty of Management in Zajecar
  • Dragan Milanovic Mining and Metallurgy Institute Bor
Keywords: Group Decision Making, Čukaru Peki, underground mining method selection, PIPRECIA-E, Multiple-Criteria Decision-Making,


Underground mining method selection is a very complex task for the mining engineers because the chosen method should fulfill the technical, economic and production requirements. Combining the criteria that cover different aspects of the mining operation and group decision-making increases the reliability of the decisions and minimize its subjectivity.  The main objective of this paper is to propose the methodology for the underground mining method selection based on the Extended Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-E) and group decision-making. The applicability of the proposed methodology is demonstrated by using the numerical example inclusive of 3 main criteria, 18 sub-criteria and 5 alternative underground mining methods pointed to the exploitation of the Upper Zone of the Čukaru Peki deposit in Serbia.


Alpay, S., & Yavuz, M. (2007). A decision support system for underground mining method selection. Proceedings of the International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (pp. 334-343). Springer, Berlin, Heidelberg.

Alpay, S., & Yavuz, M. (2009). Underground mining method selection by decision making tools. Tunnelling and Underground Space Technology, 24(2), 173-184.

Ataei, M., Jamshidi, M., Sereshki, F., & Jalali, S.M.E. (2008). Mining method selection by AHP approach. Journal of the Southern African Institute of Mining and Metallurgy,108(12), 741-749.

Ataei, M., Shahsavany, H., & Mikaeil, R. (2013). Monte Carlo Analytic Hierarchy Process (MAHP) approach to selection of optimum mining method. International Journal of Mining Science and Technology, 23(4), 573-578.

Bitarafan, M. R., & Ataei, M. (2004). Mining method selection by multiple criteria decision making tools. Journal of the Southern African Institute of Mining and Metallurgy, 104(9), 493-498.

Bogdanovic, D., Nikolic, D., & Ilic, I. (2012). Mining method selection by integrated AHP and PROMETHEE method. Anais da Academia Brasileira de Ciências, 84(1), 219-233.

Dehghani, H., Siami, A., & Haghi, P. (2017). A new model for mining method selection based on grey and TODIM methods. Journal of Mining and Environment, 8(1), 49-60.

Gupta, S., & Kumar, U. (2012). An analytical hierarchy process (AHP)-guided decision model for underground mining method selection. International Journal of Mining, Reclamation and Environment, 26(4), 324-336.

Gupta, P., Mehlawat, M. K., Aggarwal, U., & Charles, V. (2018). An integrated AHP-DEA multi-objective optimization model for sustainable transportation in mining industry. Resources Policy (In Press).

Karadogan, A., Kahriman, A., & Ozer, U. (2008). Application of fuzzy set theory in the selection of underground mining method. Journal of The Southern African Institute of Mining and Metallurgy, 108(2), 73-79.

Karimnia, H., & Bagloo, H. (2015). Optimum mining method selection using fuzzy analytical hierarchy process–Qapiliq salt mine, Iran. International Journal of Mining Science and Technology, 25(2), 225-230.

Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new Step-wise Weight Assessment Ratio Analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258.

Liang, W., Zhao, G., & Hong, C. (2018). Selecting the optimal mining method with extended multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) approach. Neural Computing and Applications, 1-16.

Liu, A. H., Dong, L., & Dong, L. J. (2010). Optimization model of unascertained measurement for underground mining method selection and its application. Journal of Central South University of Technology,17(4), 744-749.

Mahase, M. J., Musingwini, C., & Nhleko, A. S. (2016). A survey of applications of multi-criteria decision analysis methods in mine planning and related case studies. Journal of the Southern African Institute of Mining and Metallurgy, 116(11), 1051-1056.

Mardani, A., Jusoh, A., Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28(1), 516-571.

Milosavljević, M., Bursaća, M., & Tričković, G. (2018). Selection of the railroad container terminal in Serbia based on multi criteria decision-making methods. Decision Making: Applications in Management and Engineering, 1(2), 1-15.

Naghadehi, M. Z., Mikaeil, R., & Ataei, M. (2009). The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran. Expert Systems with Applications, 36(4), 8218-8226.

Namin, F. S., Shahriar, K., Bascetin, A., & Ghodsypour, S. H. (2012). FMMSIC: a hybrid fuzzy based decision support system for MMS (in order to estimate interrelationships between criteria). Journal of the Operational Research Society, 63(2), 218-231.

Nevsun Resources Ltd (2018). NI43-101 Technical Report - Pre-Feasibility Study for the Timok Project, Serbia. Bor, Serbia: Jakubec, J., Pittuck, M., Samoukovic, M., MacSporran, G., Manojlovic, P., Bunyard, M., Duinker, R., & Sucharda, M.

Pamučar, D., Lukovac, V., Božanić, D., & Komazec, N. (2018). Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 108-129.

Popović, G., & Mihajlović, D. (2018). An MCDM approach to tourism project evaluation: The Upper Danube basin case. Thematic Proceedings „Modern Management Tools and Economy of Tourism Sector in Present Era“ (pp. 129-143). UDECOM. Belgrade, Serbia.

Rahimdel, M. J., & Karamoozian, M. (2014). Fuzzy TOPSIS method to primary crusher selection for Golegohar Iron Mine (Iran). Journal of Central South University, 21(11), 4352-4359.

Saaty, T. L. (1980). The Analytic Hierarchy Process: planning, priority setting, resource allocation. New York: McGraw-Hill.

Samimi Namin, F., Shahriar, K., Ataee-Pour, M., & Dehghani, H. (2008). A new model for mining method selection of mineral deposit based on fuzzy decision making. Journal of the Southern African Institute of Mining and Metallurgy, 108(7), 385-395.

Stanujkic, D., Magdalinovic, N., Milanovic, D., Magdalinovic, S., & Popovic, G. (2014). An efficient and simple multiple criteria model for a grinding circuit selection based on MOORA method. Informatica, 25(1), 73-93.

Stanujkic, D., Zavadskas, E. K., Karabasevic, D., Smarandache, F., & Turskis, Z. (2017). The use of the PIvot Pairwise RElative Criteria Importance Assessment method for determining the weights of criteria. Romanian Journal of Economic Forecasting, 20(4), 116-133.

Stanujkic, D., Karabasevic, D., & Cipriana, S. (2018). An application of the PIPRECIA and WS PLP methods for evaluating website quality in hotel industry. Quaestus, 12, 190-198.

Stanujkic, D., Karabasevic, D., Zavadskas, E. K., Smarandache, F., & Cavallaro, F. (2019a). An approach to determining customer satisfaction in traditional Serbian restaurants. Entrepreneurship and Sustainability Issues, 6(3), 1127-1138.

Stanujkic, D., Zavadskas, E. K., Karabasevic, D., Milanovic, D., & Maksimovic, M. (2019b). An approach to solving complex decision-making problems based on IVIFNs: A case of comminution circuit design selection. Minerals Engineering, 138, 70-78.

Stević, Ž., Stjepanović, Ž., Božičković, Z., Das, D., & Stanujkić, D. (2018). Assessment of Conditions for Implementing Information Technology in a Warehouse System: A Novel Fuzzy PIPRECIA Method. Symmetry, 10(11), 586.

Velasquez, M., & Hester, P. T. (2013). An analysis of multi-criteria decision making methods. International Journal of Operations Research, 10(2), 56-66.

Vesković, S., Stević, Ž., Stojić, G., Vasiljević, M., & Milinković, S. (2018). Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC. Decision Making: Applications in Management and Engineering,1(2), 34-50.

Yavuz, M. (2015a). The application of the analytic hierarchy process (AHP) and Yager’s method in underground mining method selection problem. International Journal of Mining, Reclamation and Environment, 29(6), 453-475.

Yavuz, M. (2015b). Equipment selection based on the AHP and Yager's method. Journal of the Southern African Institute of Mining and Metallurgy, 115(5), 425-433.

Yazdani-Chamzini, A., Yakchali, S. H., & Zavadskas, E. K. (2012). Using an integrated MCDM model for mining method selection in presence of uncertainty. Economic Research-Ekonomska Istraživanja, 25(4), 869-904.

Zavadskas, E.K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165-179.

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