The selection of an appropriate method for Gazik Granite Quarry mine using a hybrid multi- criteria decision making method

Document Type : Research Paper

Authors

1 Department of Mining, Faculty of Engineering, University of Birjand, Birjand, Iran

2 Department of Mining Engineering, Birjand University of Technology, Birjand, Iran

Abstract

One of the crucial stages in the operation of quarry exploitation is the selection of an appropriate mining method because the lack of attention to this issue may bring about many problems in the process of mining, leading to extra charges incurred to the mine owner or the possible drop in the quality or quantity of the mine product. The adoption of the appropriate method of quarry mining, given the various interacting factors involved, requires a multi-criteria decision-making method. This paper makes use of the hybrid AHP-ELECTRE model to examine the conventional quarry mining methods including Diamond Wire Sawing, Blasting, Feathers and Wedge as well as the expansive agents such as KATROCK and FRACT.AG in the granite quarry of Gazik located in the South Khorassan Province, taking into consideration various factors such as the gross profit increase, safety, quality, decrease of adverse environmental effects, wastage and the reduction of mining time. In this model, the items weights were applied by the AHP method, and the items were assessed through non-rank comparisons so that, finally, the Diamond Sawing Blasting was chosen as the most appropriate method of Gazik granite quarry mining based on the ELECTRE model. Such studies can aid in managing the mining costs to decrease, which can lead to the profitability of the quarries.

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[1] Boshkov, S. H., & Wright, F. D. (1973). Basic and parametric criteria in the selection, design and development of underground mining systems. SME mining engineering handbook, 1, 12-2.
[2] Morrison, R. G. K. (1976). A philosophy of ground control: a bridge between theory and practice. Department of Mining and Metallurgical Engineering, McGill University.
[3] Laubscher, D. H. (1977). Geomechanics classification of jointed rock masses-mining applications. Trans. Instn. Min. Metall, 86, A1-8.
[4] Laubscher, D. H. (1981). Selection of mass underground mining methods. Design and operation of caving and sublevel stoping mines, 23-38.
[5] Nicholas, D. E. (1981). Method selection-a numerical approach. Design and operation of caving and sublevel stoping mines, 39-53.
[6] Tymshore, I. (1981). Computer evaluation of mining projects. Mining Journal, 2(111).
[7] Hamrin, H. (1982). Choosing an underground mining method. Underground mining methods handbook, 88-112.
[8] Brady, B. H. G., & Brown, E. T. (1985). Rock Mechanics for Underground Mining. George Allen & Unwin–London.
[9] Yun, Q. X., & Huang, G. Q. (1987). A fuzzy set approach to the selection of mining method. Mining Science and Technology, 6(1), 9-16.
[10] Laubscher, D. M., & Page, C. H. (1990). The design of rock support in high stress or weak rock environments. Proc. 92nd Can. Inst. Min. Metall. AGM.
[11] Hartman, H. L. (1992). SME Mining Engineering Handbook (Volume 2, Chapter 23.4). Selection Procedure, New York, AIME, 2090-2106.
[12] Nicholas, D. E. (1992). Selection method. SME Mining Engineering Handbook, 2090-2106.
[13] Adler, L., & Thompson, S. D. (2011). Mining methods classification system. SME Mining engineering handbook, 349-355.
[14] Kahriman, A., Ceylanoğlu, A., Demirci, A., Arpaz, E., & Görgülü, K. (1994). Selection of optimum underground mining method for Kayseri Pinarbasi-Pulpinar chromite ore. Bulletin of Chamber of Mining Engineers of Turke, 25(4), 27-41.
[15] 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 University, Sivas, Turkey.
[16] Miller-Tait, L., Pakalnis, R., & Poulin, R. (1995). University of British Columbia. Vancouver, BC, Canada: UBC mining method selection, Mine Planning and Equipment Selection.
[17] Clayton, C., Pakalnis, R. & Meech, J. (2002). A knowledge-based system for selecting a mining method, IPPM Conference, Canada, 161-178.
[18] Guray, C., Celebi, N. E., Atalay, V., & Pasamehmetoglu, A. G. (2003). Ore-age: a hybrid system for assisting and teaching mining method selection. Expert Systems with Applications, 24(3), 261-271.
[19] 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.
[20] Shahriar, K., Shariati, V., & Namin, F. S. (2007, January). Geomechanical characteristics study of deposit in underground mining method selection process. In 11th ISRM Congress. International Society for Rock Mechanics and Rock Engineering.
[21] Yavuz, M., & Alpay, S. (2008). Underground mining technique selection by multicriterion optimization methods. Journal of Mining Science, 44(4), 391-401.
[22] 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.
[23] Alpay, S., & Yavuz, M. (2009). Underground mining method selection by decision making tools. Tunnelling and Underground Space Technology, 24(2), 173-184.
[24] 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.
[25] 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, 54(3), 481-493.
[26] Azadeh, A., Osanloo, M., & Ataei, M. (2010). A new approach to mining method selection based on modifying the Nicholas technique. Applied Soft Computing, 10(4), 1040-1061.
[27] Özfırat, M. K. (2012). A fuzzy method for selecting underground coal mining method considering mechanization criteria. Journal of Mining Science, 48(3), 533-544.
[28] 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.
[29] 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.
 [30] Peskens, T. W. (2013). Underground mining method selection and preliminary techno-economic mine design for the Wombat orebody, Kylylahti deposit, Finland (Doctoral dissertation, Delft University of Technology).
 [31] 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, 6(2), 199-214.
[32] 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, 9(1), 1-10.
[33] 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, 29(1), 53-62.
 [34] 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.
[35] 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, 5(1), 16-23.
[36] Dehghani, H., Siami, A. and Haghi, P., A new model for mining method selection based on grey and TODIM methods, J. Min. & Environment, 2017, vol. 8, no. 1, pp. 49-60.
[37] Javanshirgiv, M., & Safari, M. (2017). The selection of an underground mining method using the Fuzzy TOPSIS method: a case study in the Kamar Mahdi II fluorine mine. Mining Science, 24, 161-181.
[38] Balusa, B. C., & Singam, J. (2018). Underground mining method selection using WPM and PROMETHEE. Journal of the Institution of Engineers (India): Series D, 99(1), 165-171.
[39] Kabwe, E. (2017). Optimal mining method selection for Nchanga’s Upper Orebody using analytic hierarchy process and Yager’s method. Mining Technology, 126(3), 151-162.
[40] Aryafar, A., Mikaeil, R., & Ataei, M. (2010). Selection of an appropriate method to extract the structural stones using TOPSIS multi-criteria method. Journal of Applied Geology, 6(3).
[41] Javanshirgiv, M., Moghadder, M. T., & 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, 8(2), 113-130.
[42] Esmailzadeh, A., Mikaeil, R., Sadegheslam, G., Aryafar, A., Hosseinzadeh Gharehgheshlagh, H. (2018). Selection of an Appropriate Method to Extract the Dimensional Stones Using FDAHP & TOPSIS Techniques. Journal of Soft Computing in Civil Engineering, 2(1), 101-116.
[43] Saaty, T.L. (1980). The analytic hierarchy process: planning, priority setting and resource allocation, McGraw-Hill, New York.
[44] Akcan, S., and Güldeş, M. (2019). Integrated multicriteria decision-making methods to solve supplier selection problem: a case study in a hospital. Journal of healthcare engineering, 2019, 1-10
[45] Despodov, Z., Mitić, S., & Peltečki, D. (2011). Application of the AHP method for selection of a transportation system in mine planning. Podzemni radovi, (19), 93-99.
[46] Emrouznejad, A., & Marra, M. (2017). The state of the art development of AHP (1979–2017): a literature review with a social network analysis. International Journal of Production Research, 55(22), 6653-6675.
[47] Karahalios, H., Yang, Z. L., Williams, V., & Wang, J. (2011). A proposed System of Hierarchical Scorecards to assess the implementation of maritime regulations. Safety Science, 49(3), 450-462.
[48] Lee, A. H., Chen, W. C., & Chang, C. J. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert systems with applications, 34(1), 96-107.
[49] Safari, M., Ataei, M., Khalokakaie, R., & KARAMOZIAN, M. (2010). Mineral processing plant location using the analytic hierarchy process—a case study: the Sangan iron ore mine (phase 1). Mining Science and Technology (China), 20(5), 691-695.
[50] Banayoun, R., Roy, B., & Sussman, N. (1966). Manual de Reference du Programme Electre, Note de Synthese et Formation 25. Direction Scientifique SEMA.
[51] Roy, B. (1968). Classement et choix en présence de points de vue multiples. Revue française d'informatique et de recherche opérationnelle, 2(8), 57-75.
[52] Wang, X., & Triantaphyllou, E. (2008). Ranking irregularities when evaluating alternatives by using some ELECTRE methods. Omega, 36(1), 45-63.
[53] Aiello, G. I. U. S. E. P. P. E., Enea, M., & Galante, G. (2006). A multi-objective approach to facility layout problem by genetic search algorithm and Electre method. Robotics and Computer-Integrated Manufacturing, 22(5-6), 447-455.
[54] Wu, Z., & Abdul-Nour, G. (2020). Comparison of Multi-Criteria Group Decision-Making Methods for Urban Sewer Network Plan Selection. CivilEng, 1(1), 26-48.
[55] Vincke, P. (1992). Multicriteria decision-aid. John Wiley & Sons. New York.
[56] Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: an integrated approach. Springer Science & Business Media.
[57] de Almeida, A. T. (2007). Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method. Computers & operations research, 34(12), 3569-3574.
[58] Naumann, F. (2003). Quality-driven query answering for integrated information systems (Vol. 2261). Springer.
[59] Cho, K. T. (2003). Multicriteria decision methods: an attempt to evaluate and unify. Mathematical and computer modelling, 37(9-10), 1099-1119.
[60] Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2009). Selection of materials using compromise ranking and outranking methods. Materials & Design, 30(10), 4043-4053.
[61] Wu, M. C., & Chen, T. Y. (2009, August). The ELECTRE multicriteria analysis approach based on intuitionistic fuzzy sets. In 2009 IEEE International Conference on Fuzzy Systems (pp. 1383-1388). IEEE.
[62] Hartati, S., Wardoyo, R., Harjoko, A., Palembang-prabumulih, J., & Ilir, O. (2011). Electre methods in solving group decision support system bioinformatics on gene mutation detection simulation.
[63] Chatterjee, P., Mondal, S., & Chakraborty, S. (2014). A comprehensive solution to automated inspection device selection problems using Electre methods. International Journal of Technology, 2, 193-208.
[64] Fitriadi, R. (2006). Pendekatan Compromise Programming dengan memperhitungkan Faktor lingkungan (Studi Kasus Industri Otomotif PT. XX” Jawa Tengah)”, Jurnal Ilmiah Teknik Industri, 5(2), 72-81.