ICV 2016
CC BY-NC 3.0 Polska


Department of Mining Engineering, University of Birjand, Birjand, Iran
Faculty Member, Department of Mining Engineering, Birjand University of Technology, Birjand, Iran
Mining Science 2017;24:161–181
The selection of the mining method is one of the most crucial decisions in the stage of designing mines. This depends on some underlying parameters such as economic, technical and efficiency properties. The parameters may be collected and examined in a wide range of methods including core drilling and developmental planning of an active mine. The process of selecting the mining method can be described as multi-criterion decision-making due to the several factors involved in the evaluation process. Through the multi-criterion decision-making, the structure of problems is analyzed. However, multi-criteria decision-making (MCDM) is often criticized because of its inability to handle uncertain and imprecise problems. Thus, the fuzzy decision-making is proposed as a powerful tool. Therefore in this paper, the fuzzy technique for order performance by similarity to ideal solution (Fuzzy TOPSIS) is used to select the best mining method among square-set stoping, cut-and-fill stoping, shrinkage stoping and sublevel stoping at the Kamar Mahdi fluorine mine based on 14 criteria such as deposit thickness, deposit dip, grade distribution, joint spacing in deposit and hanging wall as well as the cost of mining. Other criteria with the same importance for the four alternatives are neglected. Finally, the alternatives are ranked and the shrinkage stoping is proposed as the optimal mining method for this mine.
Mohsen Safari   
Faculty Member, Department of Mining Engineering, Birjand University of Technology, Birjand, Iran, Department of Mining Engineering, Birjand University of Technology, Industry and Mining Blvd,Ibn Hes, 9719866981 Birjand, Iran
1. Adler, L., Thompson, S.D., 1992. Mining method classification systems, SME Mining Engineering Hand-book, Society for Mining Engineering, Metallurgy and Exploration, Inc. 531-537.
2. Alpay, S., Yavuz, M., 2009. Underground Mining Method Selection by Decision Making Tools, Tunnelling and Underground Space Technology, Vol. 24, No. 2, 173-184.
3. Ashrafzadeh, M., Mokhatab Rafiei, F., Mollaverdi Isfahani, N., Zare, Z., 2012. Application of Fuzzy TOPSIS Method for the Selection of Warehouse Location: A Case Study, Interdisciplinary Journal of Contemporary Research in Business, Vol. 3, No. 9, 655-671.
4. 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, Vol. 23, No. 4, 573–578.
5. Azadeh, A., Osanloo, M., Ataei, M., 2010. A new approach to mining method selection based on modify-ing the Nicholas technique, Applied Soft Computing, Vol. 10, No. 4, 1040-1061.
6. Bakhtavar, E., Shahriar, K., Oraee, K., 2009. Mining Method Selection and Optimization of Transition from Open Pit to Underground in Combined Mining, Journal of Archives of Mining Sciences, Vol. 54, No. 3, 481–493.
7. Balusa, B.C., Singam, J., 2017. Underground Mining Method Selection Using WPM and PROMETHEE, Journal of the Institution of Engineers (India): Series D, 1–7.
8. Bitarafan, M.R., Ataei, M., 2004. Mining Method Selection by Multiple Criteria Decision Making Tools, The Journal of The South African Institute of Mining and Metallurgy, Vol. 104, No. 9, 493-498.
9. Bogdanovic, D., Nikolic, D., Ilic, I., 2012, Mining Method Selection by Integrated AHP and PROMETHEE Method, Annals of the Brazilian Academy of Sciences, Vol. 84, No. 1, 219-233.
10. Bojadziev, G., Bojadziev, M., 1998. Fuzzy Sets and Fuzzy Logic, Applications, World Scientific Publish-ing, Singapore.
11. Boshkov, S.H., Wright, F.D., 1973. Basic and Parametric Criteria in the Selection, Design and Develop-ment of Underground Mining Systems, SME Mining Engineering Handbook, A.B. Cummins and I.A. Given, (eds.), Vol.1. SME-AIME., New York, 12.2–12.13.
12. Brady, B.H.G., Brown, E.T., 1985. Rock Mechanics for Underground Mining, George Allen and Unwin, London.
13. Bullock, R.L., 2011, Comparison of Underground Mining Methods, In: P. Darling, ed. SME Mining Engineering Handbook. USA: Society for Mining, Metallurgy, and Exploration, Inc., Chapter 6.5, pp: 385-403.
14. Carter, P.G., 2011. Selection Process for Hard-Rock Mining, In: P. Darling, ed. SME Mining Engineering Handbook. USA: Society for Mining, Metallurgy, and Exploration, Inc. Chapter 6.3, 357-376.
15. Chen, C.T., 2000. Extensions of the TOPSIS for Group Decision Making Under Fuzzy Environment, Fuzzy Sets and Systems, Vol. 114, No. 1, 1–9.
16. Chen, C., Lin, C.T., Huang, S.F., 2006. A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management, International Journal of Production Economics, Vol. 102, No. 2, 289–301.
17. Clayton, C., Pakalnis, R., Meech, J.A., 2002. A Knowledge-based System for Selecting a Mining Method, IPPM Conf., Canada, 161–178.
18. Deere, D.U., Hendron, A.J., Patton, F.D., Cording, E.J., 1967. Design of Surface and near Surface Construction, In: Fairhurst C, editor. Failure and Breakage of Rock: Proceedings of the 8th U.S. Symposium on Rock Mechanics. New York: American Institute of Mining, Metallurgical, and Petroleum Engineers, Inc., 237-302.
19. 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, Vol. 8, No. 1, 2017, 49-60.
20. Demirci, A., Ceylanoglu, A., Kahriman, A., 1995. Determined of Optimum Underground Mining Method at Aegean Metal Eskisehir Chrome Enterprise and Projected Studies, Final Report. Cumhuriyet Uni-versity, Sivas, Turkey.
21. Gardner, E.D., Vanderburg, W.O., 1982. Square-Set System of Mining,. in Underground Mining Methods Handbook, ed. By W. A. Hustrulid. New York: SME– AIME, Section 3.4.2, 667-729.
22. Guray, C., Celebi, N., Atalay, V., Pasamehmetoglu, A.G., 2003. Ore-age: A Hybrid System for Assisting and Teaching Mining Method Selection, Expert Systems with Applications, Vol. 24, No. 3, 261–271.
23. Hamrin, H., 1980. Guide to Underground Mining: Methods and Applications. Stockholm, Sweden: Atlas Copco.
24. Hamrin, H., 1982. Choosing an Underground Mining Method, Underground Mining Methods Handbook. ed. By W. A. Hustrulid. New York: SME– AIME, Section 1.6, pp: 88-112.
25. Hamrin, H., 1998. Choosing an Underground Mining Method. In Techniques in Underground Mining. Edited by R.E. Gertsch and R.L. Bullock. Littleton, CO: SME.
26. Hartman, H.L., 1992. Selection Procedure, SME Mining Engineering Handbook. New York: AIME Vol. 2, No. 23.4, 2090-2106.
27. Hartman, H.L., Mutmansky, J.M., 2002. Introductory Mining Engineering, John Wiley and Sons, 344 P.
28. Hwang, C.L., Yoon, K., 1981. Multiple Attribute Decision Making Methods and Applications, Springer – Heidelberg, Berlin.
29. Javanshirgiv , M., Taheri Moghadder, M., Safari, M., 2017. The selection of appropriate mining method for the Deh Gheybi Granite Quarry Mine using the FTOPSIS method, International Journal of Mining and Mineral Engineering, Vol. 8, No. 2, 113-130.
30. Kahriman, A., Ceylanoğlu, A., Demirci, A., Arpaz, E., Görgülü, K., 1994. Selection of Optimum Under-ground Mining Method for Kayseri Pinarbasi-Pulpinar Chromite Ore, Bulletin of Chamber of Mining Engineers of Turke, Vol. 25, No. 4, 27-41.
31. Kazi, A.U.Z., 2012. A Fuzzy TOPSIS Based Multi Criteria Performance Measurement Model for Lean Supply Chain, MSc thesis, Queensland University of Technology (QUT).
32. Ko, M., Tiwari, A. Mehnen, J., 2010. A Review of Soft Computing Applications in Supply Chain Man-agement, Applied Soft Computing, Vol. 10, No. 3, 661–674.
33. Laubscher, D.H., 1977. Geomechanics Classification of Jointed Rock Masses-Mining Applications, Transactions Institute of Minerals and Metals, Section A., Vol. 86, A1-A7.
34. Laubscher, D.H., 1981. Selection of Mass Underground Mining Methods, In: D. Stewart, ed. Design and Operation of Caving and Sublevel Stoping Mines, New York: SME-AIME, 23-38.
35. Laubscher, D.H., Page, C.H., 1990. The Design of Rock Support in High Stress or Weak Rock Environ-ments, Ottawa, ON, CIM.
36. Miller, T.L., Pakalnis, R., Poulin, R., 1995. UBC Mining Method Selection, University of British Columbia, Vancouver, Canada.
37. Mohammadi Farzami, S., Vafaei, F., 2013. Evaluation and Selection of Optimal Contractor to Execute Project Using FTOPSIS Method (Case Study: Kermanshah Gas Company), International Research Journal of Applied and Basic Sciences, Vol. 6, No. 4, 450-459.
38. Morrison, R.G.K., 1976. A Philosophy of Ground Control, McGill University, Montreal, Canada, 125–159.
39. Nădăban, S., Dzitac, S., Dzitac, I., 2016. Fuzzy TOPSIS: A General View, Procedia Computer Science, Vol. 91, 823 – 831.
40. Nicholas, D.E., 1981. Method Selection—A Numerical Approach, Design and Operation of Caving and Sublevel Stoping Mines, Chap.4, D. Stewart, (ed.), SME-AIME, New York, 39–53.
41. Nicholas, D.E., 1992. Selection method, SME Mining Engineering Handbook, Howard L. Hartman (ed.), 2nd edition, Society for Mining Engineering, Metallurgy and Exploration, Inc., 2090–2106.
42. Nieto, A., 2011. Selection Process for Underground Soft-Rock Mining, In: P. Darling, ed. SME Mining Engineering Handbook. USA: Society for Mining, Metallurgy, and Exploration, Inc., Chapter 6.4, 377-384.
43. Njamba, N.M., Mutambo, V., 2016. Design an Appropriate Mining Method for Extraction of Ore between 330ml and 400ml at Baluba East Upper T- Block, International Journal of Mining Engineering and Mineral Processing , Vol. 5, No. 1, 16-23.
44. Peskens, T.W., 2013. Underground Mining Method Selection and Preliminary Techno-Economic Mine Design for the Wombat Orebody, Kylylahti Deposit, MSc thesis, Delft University of Technology, Fin-land.
45. Ozfırat, M.K., 2012. A Fuzzy Method for Selecting Underground Coal Mining Method Considering Mechanization Criteria, Journal of Mining Science, Vol. 48, No. 3, 533-544.
46. Ozfirat, P.M., Ozfirat, M.K., Malli, T., Kahraman, B., 2015. Integration of Fuzzy Analytic Hierarchy Process and Multi-Objective Fuzzy Goal Programming for Selection Problems: An Application on Roadheader Selection, Journal of Intelligent & Fuzzy Systems, Vol. 29, 53–62.
47. Rahimi Ghazikalayeh, A., Ebrahimabadi, A., Alavi, I., 2014. Selecting Proper Mining Method Using Fuzzy AHP Approach (Case study: Qaleh-Zari Copper Mine of Iran), Journal of Applied Science and Agriculture, Vol. 9, No. 1, 1-10.
48. Rudnik, K., Kacprzak, D., 2017. Fuzzy TOPSIS method with ordered fuzzy numbers for flow control in a manufacturing system, Applied Soft Computing, Vol. 52, 1020-1041.
49. Safari, M., Kakaei, R., Ataei, M., Karamoozian, M., 2012. Using Fuzzy TOPSIS Method for Mineral Processing Plant Site Selection. Case study: Sangan Iron Ore Mine (Phase 2), Arabian Journal of Geosciences, Vol. 5, No. 5, 1011-1019.
50. 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 Insti-tute of Mining and Metallurgy, Vol. 108, No. 7, 385-395.
51. Shahriar, K., Shariati, V., Samimi Namin, F., 2007. Geomechanical Characteristics Study of Deposit in Underground Mining Method Selection Process, 11th ISRM Conf., Portugal, 196–199.
52. Shariati, S., Yazdani-Chamzini, A., Pourghaffari Bashari, B., 2013. Mining Method Selection by Using an Integrated Model, International Research Journal of Applied and Basic Sciences, Vol. 6, No. 2, 199-214.
53. Torfi, F., Zanjirani Farahani, R., Rezapour S., 2010. Fuzzy AHP to Determine the Relative Weights of Evaluation Criteria and Fuzzy TOPSIS to Rank the Alternatives, Applied Soft Computing, Vol. 10 No. 2, 520-528.
54. Tymshore, I., 1981. Computer Evaluation of Mining Projects, Mining Journal, Vol. 2, No. 111.
55. Wang, T.C., Chang, T.H., 2007. Application of TOPSIS in Evaluating Initial Training Aircraft Under a Fuzzy Environment, Expert Systems with Applications, Vol. 33, No. 4, 870-880.
56. Yavuz, M., Alpay, S., 2008. Underground Mining Technique Selection by Multicriterion Optimization Methods, Journal of Mining Science, Vol. 44, No. 4, 391–401.
57. Yun, Q.X., Huang, G.Q., 1987. Fuzzy Set Approach to the Selection of Mining Method, Mining Science and Technology, Vol. 6, 9–16.
58. Zadeh, L.A., 1975. The Concept of a Linguistic Variable and Its Application to Approximate Reasoning, Information Sciences, Vol. 8, No. 3, 99–249 (I); No. 4, 301–357 (II).
59. Zare Naghadehi, M., 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, Vol. 36, No. 4, 8218–8226.
Copy url
Sign up for email alerts