A Push-Back Sequencing Model for Production Planning in Open-Pit Coal Mining

Article Preview

Abstract:

A dynamic sequencing method has been developed to simultaneously optimize the coal production rate, waste stripping rate, mining sequence, and mine life 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 push-backs” is generated in the final pit. The geologically optimum push-backs are then put into a dynamic sequencing model and economically evaluated. The best production schedule which has the highest NPV is obtained, which indicates the best quantities of coal and waste to be mined in each year, the best zone to be mined in each year, and the best number of years to mine the entire final pit.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

219-224

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[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