A Dynamic-Programming Based Model for Phase-Mining Optimization in Open-Pit Metal Mines

Qing Wang; Xiao Chuan Xu; Xiao Wei Gu

doi:10.4028/www.scientific.net/AMM.316-317.896

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 316-317A Dynamic-Programming Based Model for Phase-Mining...

A Dynamic-Programming Based Model for Phase-Mining Optimization in Open-Pit Metal Mines

Abstract:

Three important aspects of phase-mining must be optimized: the number of phases, the geometry and position of each phase-pit (including the ultimate pit), and the ore and waste quantities to be mined in each phase. A model is presented in this paper in which, a sequence of geologically optimum pits are first generated and then dynamically evaluated to simultaneously optimize the above three aspects, with the objective of maximizing the overall net present value. The model takes into full account of the dynamic nature of the problem with respect to both time and space, and is robust in accommodating different pit wall slopes and different bench heights.

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Periodical:

Applied Mechanics and Materials (Volumes 316-317)

Pages:

896-901

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.316-317.896

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Online since:

April 2013

Authors:

Qing Wang, Xiao Chuan Xu, Xiao Wei Gu

Keywords:

Dynamic Programming, Open-Pit, Optimization, Phase-Mining

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References

[1] LERCHS H, GROSSMANN I, Canadian Institute of Mining, Metallurgy and Petroleum Bulletin. 58(1965) 17–24.

Google Scholar

[2] Information on http://www.whittleconsulting.com.au/.

Google Scholar

[3] Information on http://maptek.com/products/vulcan/scheduling/.

Google Scholar

[4] Information on http://www.datamine.co.uk/products/PDF_Flyers/NPVScheduler4.

Google Scholar

[5] FRIMPONG S, ASA E, SZYMANSKI J, International Journal of Surface Mining, Reclamation and Environment. 16(2002 )134–143.

DOI: 10.1076/ijsm.16.2.134.3398

Google Scholar

[6] JALALI S E, ATAEE-POUR M, SHAHRIAR K. Canadian Institute of Mining Magazine. 1(2006)90-94.

Google Scholar

[7] Information on http//interfaces.journal.informs.org/cgi/reprint/inte.1090.0492v1.

Google Scholar

[8] HALATCHEV R, Proceedings of the 32nd International Symposium on Applications of Computers and Operations Research in the Mineral Industry, Ganguli R, Dessureault S, Kecojevic V, Dwyer J, SME, Littleton, USA, 2005, p.315–323.

DOI: 10.1201/9781439833407

Google Scholar

[9] RAMAZAN S, European Journal of Operations Research. 172(2007)1153–1166.

Google Scholar

[10] WANG Q, SEVIM H, Transactions of the American Society for Mining, Metallurgy and Exploration. 294(1993)1968-1972.

Google Scholar

[11] WANG Q, SEVIM H, Mining Engineering. 2 (1995)178-182.

Google Scholar