publication . Article . 2008

Investigating continuous time open pit dynamics

Askari-Nasab, H.; Frimpong, S.; Szymanski, J.;
Open Access English
  • Published: 01 Feb 2008
  • Publisher: The Southern African Institute of Mining and Metallurgy
Current mine production planning, scheduling, and allocation of resources are based on mathematical programming models. In practice, the optimized solution cannot be attained without examining all possible combinations and permutations of the extraction sequence. Operations research methods have limited applications in large-scale surface mining operations because the number of variables becomes too large. The primary objective of this study is to develop and implement a hybrid simulation framework for the open pit scheduling problem. The paper investigates the dynamics of open pit geometry and the subsequent material movement as a continuous system described by...
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21 references, page 1 of 2

1. CHANDA, E.K. and WILKE, F.L. An EPD model of open pit short term production scheduling optimization for stratiform orebodies. Proceedings of 23rd APCOM Symposium, SME (ed.), 1992. pp. 759-768.

2. ELVELI, B. Open pit mine design and extraction sequencing by use OR and AI concepts. International Journal of Surface Mining. Reclamation and Environment. 1995. vol. 9, pp. 149-153.

3. ERARSLAN, K. AND CELEBI, N. A simulative model for optimum open pit design. The Canadian Mining and Metallurgical Bulletin. 2001. vol. 94, pp. 59-68.

4. HALATCHEV, R.A. A model of discounted profit variation of open pit production sequencing optimization. Proceedings of Application of Computers and Operations Research in the Mineral Industry, Tucson, Arizona. Taylor & Francis Group(ed.), London, 2005. pp. 315-323.

5. ONUR, A.H. AND DOWD, P.A. Open pit optimization-part 2: production scheduling and inclusion of roadways. Transactions of the Institution of Mining and Metallurgy. 1993. vol. 102, pp. A105-A113.

6. TOLWINSKI, B. and UNDERWOOD, R. An algorithm to estimate the optimal evolution of an open pit mine. Proceedings of 23rd APCOM Symposium, University of Arizona. SME (ed.), Littleton, Colorado, 1992. pp. 399-409.

7. DOWD, P.A. and ELVAN, L. Dynamic programming applied to grade control in sub-level open stopping. Trans. IMM. 1987. vol. 96, pp. A171-A178.

8. CHANDA, E.K. and DAGDELEN, K. Optimal blending of mine production using goal programming and interactive graphics system. International Journal of Surface Mining Reclamation and Environment. 1995. vol. 9, pp. 203-208.

9. YOUDI, Z., QINGZIANG, C., and LIXIN, W. Combined approach for surface mine short-term planning optimization. Proceedings of 23rd APCOM Symposium, SME (ed.), Colorado, 1992. pp. 499-506.

10. MANN, C. and WILKE, F.L. Open pit short term mine planning for grade control-a combination of CAD techniques and linear programming. Proceedings of 23rd APCOM Symposium, SME (ed.), Colorado, 1992. pp. 487-497.

11. FRIMPONG, S., ASA, E., and SZYMANSKI, J. MULSOPS: multivariate optimized pit shells simulator for tactical mine planning. International Journal of Surface Mining, Reclamation & Environment. 1998. vol. 12, pp. 163-169.

12. FRIMPONG, S., ASA, E., and SUGLO, R.S. Numerical simulation of surface mine production system using pit shell simulator. Mineral Resources Engineering. 2001. vol. 10, pp. 185-203.

13. ASKARI-NASAB, H. and SZYMANKSI, J. Modelling open pit dynamics using Monte Carlo simulation. Proceedings of Computer Applications in the Minerals Industry (CAMI), Banff, Alberta, Canada. On CD-ROM, The Reading Matrix Inc., CA, USA, 2005. pp. 21-32.

14. ASKARI-NASAB, H., AWUAH-OFFEI, K., and FRIMPONG, S. Stochastic simulation of open pit pushbacks with a production simulator. Proceedings of CIM Mining Industry Conference and Exhibition, Edmonton, Alberta, Canada. 2004. pp. on CD-ROM

15. CARTWRIGHT, J.H.E. and PIRO, O. The dynamics of Runge-Kutta methods. Int. J. Bifurcations Chaos. 1992. vol. 2, pp. 427-449

21 references, page 1 of 2
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