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Multilevel optimization of surface coal mine truck and shovel fleets

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Summary

Optimization algorithms are developed to improve the selection of truck and shovel fleets for suface mine operations. These are based on performance estimation models developed by Fluor Utah (1977) and graphical display algorithms and other software within the SEAMPLAN system developed at Montana State University. The advantages and disadvantages of the method are considered.

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References

  • Fluor Utah, Inc., (1977)Economics of Large Scale Surface Coal Mining Using Simulation Models, Final report, ERDA contract EX-76-C-01-1520, Vol. 15, Shovel-Truck Mining Micro Models, March.

  • Himmelblau, D.M. (1972)Applied Nonlinear Programming, McGraw Hill, New York.

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  • Phillips, D.T. and Garcia Diaz, A. (1979)Fundamentals of Network Analysis, Prentice-Hall, New Jersey.

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  • Wilde, D.J. and Beightler, C.S. (1967)Foundations of Optimization, Prentice Hall, New Jersey.

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Mooney, E.L., Gibson, D.F. Multilevel optimization of surface coal mine truck and shovel fleets. International Journal of Mining Engineering 1, 283–294 (1983). https://doi.org/10.1007/BF00881546

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  • DOI: https://doi.org/10.1007/BF00881546

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