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Journal of the Southern African Institute of Mining and Metallurgy

versão On-line ISSN 2411-9717
versão impressa ISSN 0038-223X

J. S. Afr. Inst. Min. Metall. vol.109 no.2 Johannesburg Fev. 2009

 

TRANSACTION PAPER

 

Incorporation of rehabilitation cost into the optimum cut-off grade determination

 

 

J. Gholamnejad

Department of Mining and Metallurgical Engineering, Yazd University, Yazd, Iran

 

 


SYNOPSIS

Determination of the optimum cut-off grades is one of the most important aspects of mine production planning. A cut-off is a grade below which we choose not to process material. This material is treated as waste and dumped. Dumping waste is accompanied by the rehabilitation cost which will affect the overall cost of final production and also the optimum cut-off grade. Rehabilitation cost is the cost per ton of rehabilitating material of a particular type of rock after it has been dumped as waste. One of the most popular algorithms for determination of the optimum cut-off grade is Lane's method. Lane formulated the cut-off grade ptimization, but he did not consider rehabilitation cost during the optimization process. This cost item should be evaluated first, and then considered during the cut-off grade optimization process. In this paper the rehabilitation cost is inserted directly into the cut-off grade optimization process using Lane's theory. The cut-off grades obtained using the suggested method will be more realistic than ones using the original form of Lane's formulations.


 

 

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References

1. WHITTLE, J. The Facts and Fallacies of Open Pit Optimization. Whittle Programming Pty., Ltd., North Balwyn, Victoria, Australia. 1989.         [ Links ]

2. DAGDELEN, K. Open pit optimization-Strategies for improving economics of mining projects through mine planning. Application Computers for Mining Industry, 2000.         [ Links ]

3. LERCHS, H. and GROSSMAN, F. Optimum design of open-pit mines. Transaction CIM, vol. 58, no. 633, 1965. pp. 47-54.         [ Links ]

4. ZHAO, H. and KIM, Y.C. A New Optimum Pit Limit Design Algorithm. 23rd International Symposium on the Application of Computers and Operations Research in The Mineral Industries, 1992. pp. 423-434. AIME, Littleton, Co.         [ Links ]

5. JOHNSON, T.B., and BARNES, J. Application of Maximal Flow Algorithm to Ultimate Pit Design. Engineering Design: Better Results through Operations Research Methods. North Holland, 1988. pp. 518-531.         [ Links ]

6. YEGULALP, T.M. and ARIAS, J.A. A Fast Algorithm to Solve Ultimate Pit Limit Problem. 23rd International Symposium on the Application of Computers and Operations Research in The Mineral Industries, 1992. pp. 391-398. AIME, Littleton, Co.         [ Links ]

7. TAYLOR, H.K. Cut-off grades-some further reflections. Institution of Mining and Metallurgy Transactions, A204-216. 1985.         [ Links ]

8. LANE, K.F. Choosing the Optimum Cut-off Grade, Colorado School of Mines Quarterly, vol. 59, 1964. pp. 811-829.         [ Links ]

9. LANE, K.F. The Economic Definition Ore-cut-off grades in Theory and Practice. Mining Journal Books Limited, London. 1988. p. 145.         [ Links ]

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