Simultaneous Optimization of Final Pit and Production Schedule in Open-Pit Coal Mines

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A dynamic sequencing method has been developed that can simultaneously optimize the final pit and the production schedule of an open-pit coal mine. The method first establishes a geological seam model of a bedded coal deposit which estimates the relevant attributes of coal seams at the center of each block on the X-Y plane. Based on the seam model, a sequence of “geologically optimum final pits” is generated and, in each of these pits, a sequence of “geologically optimum push-backs” is generated. The geologically optimum push-backs are then put into a dynamic programming scheme and the best production schedule which has the highest NPV is obtained for each final pit. After the best production schedules for all the final pits are obtained, the one with the highest overall NPV is the optimum final pit and its associated best schedule is the overall best production schedule.

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222-228

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August 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] M.J. Lemieux, Moving cone optimizing algorithm, in The computer method for the 80's in the mineral industry, A. Weiss ed., New York, AIME, 1979, pp.329-345.

Google Scholar

[2] H. Lerchs and I.F. Grossmann, Optimum design of open-pit mines, CIM Bull. 58 (1965), pp.47-54.

Google Scholar

[3] S. Korobov, Method for determining optimum open-pit limits, Technical report EP74-R-4, (1974).

Google Scholar

[4] P.A. Dowd and A.H. Onur, Open-pit optimization—part 1: optimal open-pit design, Trans. Instn. Min. Metall. (Sect. A: Min. industry) 102 (1993), pp. A95-A104.

Google Scholar

[5] Y. Zhao and Y.C. Kim, A new optimum pit limit design algorithm, in Proc. 23rd Symposium on the application of computers and operations research in the mineral industry (APCOM), Littleton, Colo., AIME, 1992, pp.423-434.

Google Scholar

[6] T. M. Yegulalp et al., New development in ultimate pit limit problem solution method, SME Preprint No. 93-26, SME Annual Meeting, Reno, Nevada, U.S.A., (1993).

Google Scholar

[7] M.E. Gershon, An open-pit production scheduler: algorithm and implementation, Min. Engng. 39 (1987), pp.793-796.

Google Scholar

[8] K. Fytas and P.N. Calder, A computerized model of open-pit short and long range production scheduling, in Proc. 19th APCOM, New York, AIME, 1986, pp.109-119.

Google Scholar

[9] E.A. Wright, Dynamic programming in open-pit mining sequencing, a case study, in Proc. 21th APCOM, 1989, pp.415-421.

Google Scholar

[10] K. Dagdelen and T.B. Johnson, Optimum open-pit mine production scheduling by Lagrangian parameterization, in Proc. 19th APCOM, New York, AIME, 1986, pp.127-139.

Google Scholar

[11] Q. Wang, Open-pit production planning through pit generation and pit sequencing, Ph.D. thesis, Southern Illinois University, (1992).

Google Scholar

[12] Q. Wang and H. Sevim, Open-pit production planning through pit-generation and pit-sequencing, Trans. Soc. Min., Metall. and Expl. 294 (1994), p.1968-(1974).

Google Scholar