Document Type: Case Study


Department of Mining Engineering, Hamedan University of Technology, Hamedan, Iran


One of the most important steps involved in mining operations is to select an appropriate extraction method for mine resources. After choosing the extraction method, it is usually impossible to replace it with another one because it may be so expensive that implementation of the entire project could be economically impossible. Choosing a mining method depends on the geological and geometrical characteristics of the mine. Due to the complexity of the process of choosing an appropriate mining method and the effect of the parameters involved on the results of this process, it is necessary to utilize the new decision-making methods that have the ability to consider the relationship between the existing parameters and the mining methods. Grey and TODIM (an acronym in Portuguese, i.e. Tomada de Decisão Interativa Multicritério) decision-making methods are among the existing ones, which in addition to the convenience, show high accuracy. The proposed models are presented to determine the best mining method in the Gol-e-gohar iron ore mine in Iran. The results obtained are compared with the methods used in the previous research works. Among the decision-making methods introduced, the open pit mining method is the most appropriate option and the square-set mining is the worst one.


[1]. Guray, C., Celebi, N., Atalay, V. and Gunhan, A. (2003). Ore-Age: a Hybrid System for Assisting and Teaching Mining Method Selection. Middle East Technical University. Turkey.

[2]. Bitarafan, M. and Ataei, M. (2004). Mining method selection by multiple criteria decision making tool. The Journal of the South African Institute of Mining and Metallurgy. 493-498.

[3]. Alpay, S. and Yavuz, M. (2007). A decision support system for underground mining method selection. New Trends in Applied Artificial Intelligence. pp. 334–343.

[4]. Karadogan, A., Bascetin, A. and Kahriman, A.  (2001). A New Approach in Selection of Underground Mining Method. International Scientific Conference SGEM. Bulgaria.

[5]. Yavuz, M. and Iphar, G. (2008). Once, The optimum support design selection by using AHP method for the main haulage road in WLC Tuncbilek colliery. Tunnelling and Underground Space Technology. 23: 111-119.

[6]. ZareNaghadehi, M., Mikaeil, R. and 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: 8218-8226.

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

[8]. SamimiNamin, F., Shahriar, K., Ataee-pour, M. and Dehghani, H. (2008). A new model for mining method selection of mineral deposit based on fuzzy decision making. The Journal of the Southern African Institute of Mining and Metallurgy. 108: 385-395.

[9]. Jamshidi, M., Ataei, M., Sereshki, F. and Jalali, S.M.E. (2009). The Application of AHP Approach to Selection of Optimum Underground Mining Method, Case Study: Jajarm Bauxite Mine (Iran). Arch. Min. Sci. 54: 103-117.

[10]. SamimiNamin, F., Shahriar, K., Bascetin, A. and Ghodsy Poor, S. (2010). Practical applications from decision-making techniques for selection of suitable mining method in Iran. Gospodarku Surowcami Mineralnymi. pp. 57-77.

[11]. Bogdanovic, D. and Nikolic, D. (2010). Mining method selection by integrated AHP and PROMETHEE method. Anais da Academia Brasileira de Ciências.

[12]. Azadeh, A., Osanloo, M. and Ataei, M. (2010). A new approach to mining method selection based on modifying the Nicholas technique. Applied Soft Computing. 10: 1040-1061.

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

[14]. Gélvez, J.I.R., Aldana, F.A.C. and Sepúlveda, G.F. (2014). Mining Method Selection Methodology by Multiple Criteria Decision Analysis- Case Study in Colombian Coal Mining. International Symposium of the Analytic Hierarchy Process. Washington D.C. USA.

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

[16]. Yavuz, M. (2015). 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: 453-475.

[17]. Lv, W. and Zhang, Z. (2015). Establishment and Application of Thin Coal Seam Mining Method Prediction Model Based on Improved Neural Network. International Journal of Ecological Economics and statistics. 36:1-11.

[18]. Chen, W. and Tu, S. (2015). Selection of an Appropriate Mechanized Mining Technical Process for Thin Coal Seam Mining. Mathematical Problems in Engineering. 10 pages.

[19]. Jianhong, C., Zou, Z. and Ren, C. (2015). Research on Optimization of Mining Method based on the AHP-VIKOR Method. Gold Science and Technology. 2015: 13.

[20]. Peele, R. and Church, J. (1941). Mining Engineering Handbook. John Wiley & Sons. INC Vol. 1.

[21]. Boshkov, S. and Wright, F. (1973). Basic and Parametric Criteria in the Selection. Design and Development of Underground Mining System. SME Mining Engineering Handbook. Cummins and Given. SME. New York. Vol. 1.

[22]. Morrison, R.G.K. (1976). AQ Philosophy of Ground Control. McGill University. Montreal. Canada. pp. 125-159.

[23]. Nicholas, D. and Mark, J. (1981). Feasibility Study–Selection of a Mining Method Integrating Rock Mechanics and Mine Planning. 5th Rapid Excavation and Tunneling Conference. San Francisco. 2: 1018-1031.

[24]. Nicholas, D.E. (1993). Selection Procedure. Mining Engineering Handbook. Hartman. H. SME. New York. pp. 2090-2105

[25]. Labscher, D. (1981). Selection of Mass Underground Mining Methods. Design and Operation of Caving and Sublevel Stopping Mines. New York. AIME. Chapter 3.

[26]. Karabeyogˇlu, A. (1986). Critical analysis of underground mining method selection with respect to Kure-Asikoy copper orebody. Master’s Thesis. METU.

[27]. Hartman, H.L. (1987). Introduction Mining Engineering. Willy. New York.

[28]. Marano, G. and Everitt, A. (1987). Selection of Mining Method and Equipment for block 58. Shabanie Mine. Zimbabwe. African Mining Conference. Harare. pp. 229-238.

[29]. Bandopadhyay, S. and Venkatasubramanian, P. (1988). Rule-based Expert System for Mining Method Selection. CIM Bulletin. 81: 84-88.

[30]. Agoshkov, M., Borisov, S. and Boyarsky, V. (1988). Classification of Ore Deposit Mining Systems. Mining of Ores and Non-Metalic Minerals. Union of Soviet Socialist Republics. pp. 59-62.

[31]. Camm, T.W. and Smith, M.L. (1992). An object-oriented expert system for underground mining method selection and project evaluation. 23rd APCOM Proceedings. Denver. USA. pp. 909-916.

[32]. Mutagwaba, W.K. and Terezopoulos, N.G. (1994). Knowledge-based System for Mine Method Selection. Institution of Mining and Metallurgy. Section A. Mining industry. 103: 27-32.

[33]. Miller, L., Pakalnis, R. and Poulin, R. (1995). UBC Mining Method Selection. International symposium on mine planning and equipment selection.Singh.

[34]. Gershon, M.E., Bandopadhyay, S. and Panchanadam, V. (1995). Mining method selection: a decision support system integrating multi-attribute utility theory and expert systems. Proceedings 24th APCOM Meeting. Montreal. Quebec. Canada. pp. 11–18.

[35]. Hamrin, H. (1988). Choosing Underground Mining Method Techniques in Underground Mining. Mining Engineering Handbook. USA. pp. 45-85.

[36]. Tatiya, R.R. (1998). Computer Assisted Economic Analysis to Selected a Stopping Method. CIM Bulletin. 91: 82-86.

[37]. Basu. A.J. (1999). Mining Method Selection Expert System with Prototype with Australian Case Studies.International symposium on mine planning and equipment selection. Ukraine. pp. 73-78.

[38]. Kahriman, A. (2000). Selection of Optimum Underground Mining Method for Kayseri Pynarbapy- Pulpynar Chrome Ore. Middle East Technical University. Turkey.

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

[40]. Kesimal, A. and Bascetin, A. (2002). Application of Fuzzy Multiple Attribute Decision Making in Mining Operations. Mineral Resources Engineering. 11: 59-72.

[41]. Clayton, C., Pakalnis, R. and Meech, J. (2002). A Knowledge-based System for Selecting a Mining Method. IPPM conference. Canada.

[42]. Yiming, W., Ying, F. and Weixuan, X. (2003). An Integrated Methodology for Decision Making of Mining Method Selection. Manufacturing Technology and Management. China.

[43]. Yiming, W., Ying, F. and Weixuan, X. (2004). Multiple Objective integrated methodology of Global Optimum Decision-Making on Mineral Exploitation. Computer & Industrial Engineering. 46: 363-372.

[44]. SamimiNamin, F., Shahriar, K. and KarimiNasab, S. (2003). Fuzzy Decision Making for Mining Method Selection in Third Anomaly Gol-E-Gohar Deposit. 18th International mining congress and exhibition of Turkey. I MCET.

[45]. SamimiNamin, F., Shahriar, K. and KarimiNasab, S. (2004). Method selection of MEHDI ABAD Lead-Zinc Mine and Related Problems. 5th ISMST Conferences. China.

[46]. Shahriar, K., Shariati, V. and SamimiNamin, F. (2007). Geo mechanical Characteristics Study of Deposit in Underground Mining Method Selection Process. 11th ISRM Conferences. Portugal.

[47]. Mihaylov, G. (2005). A Model and Procedure for Selecting Underground Mining Methods. World Mining Congress. Tehran. Iran.

[48]. Miranda, C. and Almeida, C. (2005). Mining Methods Selection Based on Multi criteria Models. Application of Computes and operation research in the mineral industry. London.

[49]. Bascetin, A. (2005). A Decision Support System Using Analytical Hierarchy Process (AHP) For the Optimal Environmental Reclamation of an Open-pit Mine. Environmental Geology. 52: 663-672.

[50]. Deng, J.L. (1982). Control problems of grey system. Systems and Control Letters. 1: 288-294.

[51]. Deng, J.L. (1989). The introduction of grey system. The Journal of Grey System. 1: 1-24.

[52]. Zhang, J.J., Wu, D.S. and Olson, D.L. (2005). The method of grey related analysis to multiple attribute decision making problems with interval numbers. Mathematical and Computer Modelling. 42: 991-998.

[53]. Chen, M.F. and Tzeng, G.H. (2004). Combining grey relation and TPOSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling. 40: 1473-1490.

[54]. Tsaur, S.H. and Tzeng. G.H. (1996). Multiattribute decision making analysis for customer preference of tourist hotels.Journal of Travel and Tourism Marketing. 4: 55-69.

[55]. Wen, K.L. (2004). The Grey system analysis and its application in gas breakdown. The International Journal of Computational Cognition. 2: 21-44.

[56]. Asokan, P., Kumar, R.R., Jeyapaul, R. and Santhi, M. (2008). Development of multi-objective optimization models for electrochemical machining process. The International Journal of Materials Manufacturing Technology. 39: 55-63.

[57]. Tzeng, G. and Huang, J. (2011). Multiple Attribute Decision Making Methods and applications. Taylor & Francis Group. Boca Raton.

[58]. Kahneman, D. and Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica. 47: 263-292.

[59]. Roux, D. (2002). Nobel en E´ conomie. 2nd ed. Economica. Paris.

[60]. Keeney, R.L. and Raiffa, H. (1993). Decisions with Multiple Objectives: Preferences and Value Tradeoffs. Cambridge University Press. Cambridge.

[61]. Tversky, A. (1969). Intransitivity of preferences. Psychological Review. 76: 31-48.

[62]. Brans, J.P. and Mareschal, B. (1990). The PROME´THE´E methods for MCDM. the PROMCALC GAIA and BANDADVISER software. In: Bana e Costa. C.A. (Ed.). Readings in Multiple Criteria Decision Aid. Springer Verlag. Berlin.

[63]. Gomes, L.F.A.M. and Lima, M.M.P.P. (1992a). TODIM: Basics and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences. 16: 113-127.

[64]. Gomes, L.F.A.M. and Lima, M.M.P.P. (1992b). From modeling individual preferences to multicriteria ranking of discrete alternatives: A look at Prospect Theory and the additive difference model. Foundations of Computing and Decision Sciences. 17: 171-184.

[65]. Trotta, L.T.F., Nobre, F.F. and Gomes, L.F.A.M. (1999). Multi-criteria decision making- An approach to setting priorities in health care.Statistics in Medicine. 18: 3345-3354.

[66]. Clemen, R.T. and Reilly, T. (2001). Making Hard Decisions with Decision Tools_. Pacific Grove. Duxbury.

[67]. Bouyssou, D. (1986). Some remarks on the notion of compensation in MCDM. European Journal of Operational Research. 26: 150-160.

[68]. Barba-Romero, S. and Pomerol, J.C. (2000). Multicriterion Decision in Management: Principles and Practice. Kluwer Academic Publishers. Boston.

[69]. Gomes, L.F.A.M. and Rangel, L.A.D. (2009). An application of the TODIM method to the multicriteria rental evaluation of residential properties. European Journal of Operational Research. 193: 204-211.