Primary Crusher Site Selection in Open Pit Mines - Case study in Sungun Copper Mine
Abstract
Facility site selection, (such as Primary or in pit Crusher location) is one of the most important steps in
mine design process that has a significant impact on economy of the mining operation. This study covers an attempt
to find the optimal location for primary crusher in order to support the expansion of Sungun copper mine, which
is the second largest open pit mine in Iran. Recent exploration drilling has led to a considerable increase in the ore
reserve. Therefore, Sungun started the studies followed with an expansion plan with the goal to increase the capacity from 14 to 28 Mt/Year within the next 8 years. In this paper, 14 effective parameters for finding the best
location for a new crusher in five possible options were considered. The options were evaluated based on weighted
linear combination method. The results show that the location in South East part of the open pit is the best option
for locating of the new crusher. Finally, based on the economic parameters and copper price forecasts, pit optimization and sensitive analysis are applied. Results show that in the worst case, just 0.17 % of ore reserve is affected
by the selected area and the minable reserve can cover 78 years of operation.
References
SHIRAZI, M. et al. (2014) An Approach to Locate an in Pit Crusher in Open Pit Mines. International Journal of Engineering, 27 (9/September): pp. 1475-1484.
HAWLEY, P. and CUNNING, J. (2017) Guidelines for Mine Waste Dump and Stockpile Design. Clayton, Vic: CSIRO PUBLISHING. 2017, DOI: 10.1071/9781486303519
TRIANTAPHYLLOU, E. (2000) Multi-Criteria Decision Making Methods. In: Multi-criteria Decision Making Methods: A Comparative Study. Applied Optimization, vol 44. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3157-6_2.
HEKMAT, A. et al. (2008) New approach for selection of waste dump sites in open pit mines. Mining Technology, 117(1), pp. 24-31.
STEVANOVIĆ, D. et al. (2018) Application of MCDA in selection of different mining methods and solutions. Advances in Science and Technology Research Journal, 12(1). pp. 171-180.
MOHAMADABADI, H.S. et al. (2009) Development of a multi-criteria assessment model for ranking of renewable and non-renewable transportation fuel vehicles. Energy, 34(1), pp. 112-125.
GOVINDAN, K. and JEPSEN, M.B. (2016) ELECTRE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 250(1/ 1 April), pp. 1-29.
TSAUR, R. (2011) Decision risk analysis for an interval TOPSIS method Applied Mathematics and Computation, 218( 8 / 15 December), pp. 4295-4304.
GUTIÉRREZ, L. et al. (2018) A new method for identification of fuzzy models with controllability constraints. Applied Soft Computing, 73, pp. 254-262.
TAVANA, M. et al. (2018) An extended stochastic VIKOR model with decision maker's attitude towards risk. Information Sciences, 2018. 432: p. 301-318.
JANKOVIĆ, I. et al. (2019) Multi-Criteria Approach for Selecting Optimal Dozer Type in Open-Cast Coal Mining. Energies, 12(12), DOI: 10.3390/en12122245.
LTD, C.G.U., JORC Technical Report (Sungun Copper Mine). 2017.
LTD, A.M.D.A.D.P., SUNGUN COPPER MINE: MINE DESIGN, SCHEDULE, RESERVES, with FLEET and CRUSHER ASSESSMENT. 2019.
MAGDA, R. (1985) Aspects of optimum mine site selection. Mining Science and Technology, 2(3): pp. 217-228.
RAMCHARAN, E.K. and DEY, P. K. (2005) The role of environmental factors in industrial site selection activities: a case of limestone quarry expansion in Barbados, West Indies. Impact Assessment and Project Appraisal, 23(2), pp.147-154, DOI: 10.3152/147154605781765670.
SULEMAN, H. A. and BAFFOE, P. E. (2017) Selecting Suitable Sites for Mine Waste Dumps Using GIS Techniques at Goldfields, Damang Mine. Ghana Mining Journal, 17(1), pp. 9-17.
