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Selection mining methods via multiple criteria decision analysis using TOPSIS and modification of the UBC method

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Mine designers often face difficulties in selecting an appropriate mining method; however, such a method should be selected based on ore and rock characteristics. The selection of mining methods can be considered a type of multi-criteria decision making, and this depends on many factors used in the selection process. The general method used in this field is the University of British Columbia (UBC) method, which determines the criteria of the properties that are compared to determine the best and worst of several mining methods. In this paper we used as new technique which defines as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The criteria considered in the UBC method include general shape, ore thickness, ore plunge, and grade distribution, beside the rock quality designation (RQD), and the rock substance strength (RSS). This paper presents an improved TOPSIS method based on experimental design. Additionally, this paper will introduce a modified version of the UBC method that can be employed based on Excel sheet. The best mining methods is cut and fill stoping and top slicing with the same rank equal 0.72, and the second-best mining method is square set stoping with rank equal 0.65.
Rocznik
Strony
49--55
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
  • Mining and Petroleum Engineering Department, Faculty of Engineering Al-Azhar University, Egypt
  • Department of Energy & Resources Engineering, Chonnam National University, South Korea
Bibliografia
  • [1] Hoek E, Brown ET. Underground excavations in rock. London: Institution of Mining and Metallurgy; 1980. p. 527.
  • [2] Harman HL. Introductory mining engineering. New Jersey: John Wiley; 1987.
  • [3] Hartman HL, Mutmansky JM. Introductory mining engineering. New Jersey: John Wiley; 2002.
  • [4] Alpay Serafettin, Yavuz Mahmut. Underground mining method selection by decision making tools. Tunn Undergr Space Technol 2009;24:173-84.
  • [5] Ataei M. Multicriteria selection for alumina-cement plant location in East- Azerbaijan province of Iran. J S Afr Inst Min Metall 2005;105:507-14.
  • [6] Peskens TW. Underground mining method selection and preliminary techno-economic mine design for the Wombat orebody, Kylylahti deposit, Finland. Master thesis. Section for Resource Engineering Department of Geoscience & Engineering Delft University of Technology; 2013.
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  • [11] Karadogan A, Bascetin A, Kahriman A, Gorgun S. A new approach in selection of underground mining method. In: Proceeding of the international conference-modern management of mine producing, geology and environment protection; 2001. p. 171-83.
  • [12] Yavuz M, Iphar M, Once G. The optimum support design selection by using AHP method for the main haulage road in WLC Tuncbilek colliery. Tunn Undergr Space Technol 2008; 23:111-9.
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  • [14] Kahriman A, Ceylanoglu A, Demirci A, Arpaz E, Gorgulu K. Selection of optimum underground mining method for Eskisehir-Karaburun chromite ore (in Turkish). In: Proceeding of the 3rd national rock mechanics symposium; 1996. p. 47-60.
  • [15] Miller-Tait L, Panalkis R, Poulin R. UBC mining method selection. In: Proceeding of the mine planning and equipment selection symposium; 1995. p. 163-8.
  • [16] Bascetin A, Kesimal A. The study of a fuzzy set theory for the selection of an optimum coal transportation system from pit to the power plant. Int J Surf Min Reclamat Environ 1999;13: 97-101.
  • [17] Elevli B, Demirci A. Multicriteria choice of ore transport system for an underground mine: application of PROMETHEE methods. J S Afr Inst Min Metall 2004;104: 251-6.
  • [18] Saaty TL. Fundamentals of decision making and priority theory with the analytic Hierarchy process. Pittsburgh: RWS; 2000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9ae96e1c-9d95-4e17-8474-891b31bf9388
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