to select the proper haulage system in Sarcheshmeh copper mine of Iran, some other factors apart from technical and economic factors, by taking into account the SD concept were considered and the selection was done by using hierarchical preference voting system (HPVS) method. This PVS uses a DEA model to produce weights associated with each ranking place. One of the main advantage of PVS method, is to remove the uncertainty in comparisons, in addition, regarding to application of a mathematical model, outcomes are more reliable. The result of this study shows that, the combination of truck-shovel and in-pit crusher with score 2.048 has higher priority compared to other alternatives such as truckshovel and shovel and mobile in-pit crusher as a proper haulage system for Sarcheshmeh copper mine. REFERENCES Aghajani A., Osanloo M., 2007 – Application of AHP-TOPSIS Method for Loading-Haulage Equipment Selection in Open pit Mines. XXVII International Mining Convention, Mexico Aghajani A., Osanloo M., Soltanmohammadi H., 2008 – Loading-haulage equipment selection in open pit mines based on fuzzy-TOPSIS method. In Proc. 17 th International conference on mine planning and equipment selection, China, p 87- 102 Aghajani A., Osanloo M., Karimi B., 2009 – Overburden removal equipment selection through MADM methods: application of modified VIKOR method. In Proc. 18 th International conference on mine planning and equipment selection, Canada, p 134-141 Aghajani A., Osanloo M., Karimi B., 2010 – A Non- Linear Programming Model for Open Pit Mine Equipment Selection. . In Proc. 19 th International conference on mine planning and equipment selection, Australia, p 303-316 Bandopadhyay S., Venkatasubramanian P., 1987 – Expert systems as decision aid in surface mine equipment selection. International Journal of Mining, Reclamation and Environment Vol. 1, p 159–165. Bascetin A., 2004 – An application of the analytic hierarchy process in equipment selection at Orhaneliopen pit coal mine. Mining Technology (Trans. Inst. Min. Metal. A), Vol. 113, p 192-199 Blanchard B.S., Fabrycky W.J., 1981 – Systems engineering and analysis. 2 nd edition (Englewood Cliffs, N.J: Prentice-Hall, Inc), p 491–524. Bascetin A., Oztas A., Kanli A., 2006 – EQS: computer software using fuzzy logic for equipment selection in mining engineering. The Journal of the South African Institute of Mining and Metallurgy Vol. 106, p 63–70. Cebesoy T., 1997 – Surface mining equipment cost analysis with a developed linear break even model. International Journal of Mining, Reclamation and Environment Vol. 11, p 53–58 Celebi N., 1998 – An equipment selection and cost analysis system for open pit coal mines. International Journal of Mining, Reclamation and Environment Vol. 12, p 181–187 Cook W.D., Kress M., 1990 – A data envelopment model for aggregation preference ranking. Manag. Sci. 36, p 1302-1310. Denby B., Schofield D., 1990 – Application of expert systems in equipment selection for surface design. International Journal of Mining, Reclamation and Environment Vol. 4, p 165–171 Green R.H., Doyle J.R., Cook W.D., 1996 – Preference voting and project ranking using DEA and cross-evaluation. Eur. J. Oper. Res. Vol. 90, p 461-472. Gregory, B S, 2003 – Excavator selection, in Proceedings 12 th International Symposium on Mine Planning and Equipment Selection, p 395- 404 Hall R., Daneshmand K., 2003 – Reliability Modelling of Surface Mining Equipment: Data Gathering and Analysis Methodologies. International Journal of Mining, Reclamation and Environment Vol. 17, p 139–155 Hartman H.L., 1992 – SME Mining Engineering Handbook, 2 nd Edition., p 1343-1351 Hilson G., Murck B., 2000 – Sustainable development in the mining industry: clarifying the corporate perspective. Resources Policy Vol. 26, p 227-238 Hoppe R. W., 1977 – Open-pit mining in Arizona. Engineering and Mining Journal. Vol. 178, No. 6. p 95-106 Hrebar M.J., 1990 – Preliminary dragline selection for surface coal mining operation. In Proc. 2 nd International conference on mine planning and equipment selection, Canada, p 133–43. Jacek M., Zaplicki C., 2009., Shovel-Truck systems, CRC press, UK., p 2-6 Koehler F., 2003. In-Pit Crushing System the Future Mining Option., in Proceedings 12 th International Symposium on Mine Planning and Equipment Selection, p 371-376 Laurence D., 2011 – Establishing a sustainable mining operation: an overview., Journal of Cleaner Production, Vol. 19., p 278-284 138
23 rd Noguchi H., Ogawa M., Ishii H., 2002 – The appropriate total ranking method using DEA for multiple categorized purposes. J. Comput. Appl. Math. Vol.146, p 155-166. Nourali H., Nourali S., Ataei M., Imanpour N., 2012 – A Hierarchical Preference Voting System for Mining Method Selection Problem., Journal of Archive of Mining Science, Vol. 57, No. 4, p 925–938 Oraee K., Tahami M.k., Sam A., 2009 – Choosing the best system: truck or conveyor belt in Gohar Zamin iron ore mine., Iranian Journal of Mining Engineering., Vol. 3., p 27-38 Osanloo M., 2007 – Surface Mining Methods, p 453-638 (in Persian) Osanloo M., 2012 – Future Challenges in Mining Division, Are we Ready for these Challenges? Do We Have Solid Educational Program?, 23 rd Annual General Meeting of the Society of Mining Professors., Poland., p 29-39 Samanta B., Sarkar B., Mukherjee S., 2002 – Selection of open cast mining equipment by a multi-criteria decision-making process. Mining Technology (Trans. Inst. Min. Metall. A), Vol. 111.A136–A142. Sevim H., Sharma G., 1991 – Comparative economic analysis of transportation systems in surface coal mines. International Journal of Mining, Reclamation and Environment Vol. 5, p 17–23. United Nations, 1987 – Report of the World Commission on Environment and Development: Our Common Future. Available at: http://www.un-documents.net Wang Y.M., Chin K.S., Yang J.B., 2007 – Three new models for preference voting and aggregation. J. Oper. Res. Soc. Vol. 58, p 1389- 1393. Waterman G.C., Hamilton R.L., 1975 – The Sarcheshmeh Porphyry Copper Deposit. Economic Geology., p 568–576. 139
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3 METHOLOGICAL APPROACH AND EQUIPME
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