401
Konyukh, V., Galiyev, S. & Li, Z., 1999. Mine simulation in Asia. International Journal of Surface Mining, Reclamation and Environment, 13(2), pp. 57–67. Available at: http://dx.doi.
org/10.1080/09208119908944210.
Lynch, A.J. & Morrison, R.D., 1999. Simulation in mineral processing history, present status and possibilities. The Journal of The South African Institute of Mining and Metallurgy, 99(6), pp. 283–288.
Mena, R. et al., 2013. Availability-based simulation and optimization modeling framework for open-pit
mine truck allocation under dynamic constraints. International Journal of Mining Science and Technology, 23(1), pp. 113–119. Available at: http://dx.doi.org/10.1016/j.ijmst.2013.01.017.
Modular Mining Systems, 2017. DISPATCH Fleet Management., 2017 (December 4th). Available at:
http://www.modularmining.com/.
Que, S., Anani, A. & Awuah-Offei, K., 2016. Effect of ignoring input correlation on truck–shovel simulation. International Journal of Mining, Reclamation and Environment, 30(5–6), pp. 405–421. Available at: http://dx.doi.org/10.1080/17480930.2015.1099188.
Raj, M.G., Vardhan, H. & Rao, Y.V, 2009. Production optimization using simulation models in mines:
A critical review. International Journal of Operational Research, 6(3), pp. 330–359.
Rist, K., 1961. The solution of a transportation problem by use of a Monte Carlo Technique. In
APCOM 1. Tucson, Arizona, USA: SME.
Sturgul, J.R., 1999. Discrete mine system simulation in the United States. International Journal
of Surface Mining, Reclamation and Environment, 13(2), pp. 37–41. Available at: http://dx.doi.
org/10.1080/09208119908944207.
Sturgul, J.R. & Eharrison, J., 1987. Simulation models for surface mines. International Journal of Surface Mining, Reclamation and Environment, 1(3), pp. 187–189.
Ta, C.H., Ingolfsson, A. & Doucette, J., 2013. A linear model for surface mining haul truck allocation incorporating shovel idle probabilities. European Journal of Operational Research, 231(3),
pp. 770–778. Available at: http://www.sciencedirect.com/science/article/pii/S0377221713005043
[Accessed April 23, 2015].
Torkamani, E. & Askari-Nasab, H., 2015. A linkage of truck-and-shovel operations to short-term mine
plans using discrete-event simulation. IJMME, 6(2), pp. 97–118. Available at: http://www.inderscienceonline.com/doi/abs/10.1504/IJMME.2015.070367.
Upadhyay, S.P., 2016. Simulation optimization of mine operations for uncertainty based short term and
operational planning in open pit mines. University of Alberta.
Upadhyay, S.P. & Askari-Nasab, H., 2017. Dynamic shovel allocation approach to short-term production planning in open-pit mines. International Journal of Mining, Reclamation and Environment,
pp. 1–20. Available at: http://dx.doi.org/10.1080/17480930.2017.1315524.
Upadhyay, S.P. & Askari-Nasab, H., 2016. Truck-shovel allocation optimisation: a goal programming
approach. Mining Technology, 00(0), pp. 1–11. Available at: http://www.tandfonline.com/doi/full/10.
1179/1743286315Y.0000000024.
Vagenas, N., 1999. Applications of discrete-event simulation in Canadian mining operations in the nineties. International Journal of Surface Mining, Reclamation and Environment, 13(2), pp. 77–78.
White, J.W. & Olson, J.P., 1986. Computer-based dispatching in mines with concurrent operating objectives. MIN ENG-LITTLETON, 38(11), pp. 1045–1054.
Yuriy, G. & Vayenas, N., 2008. Discrete-event simulation of mine equipment systems combined with a
reliability assessment model based on genetic algorithms. International Journal of Mining, Reclamation and Environment, 22(1), pp. 70–83.
Konyukh, V., Galiyev, S. & Li, Z., 1999. Mine simulation in Asia. International Journal of Surface Mining, Reclamation and Environment, 13(2), pp. 57–67. Available at: http://dx.doi.
org/10.1080/09208119908944210.
Lynch, A.J. & Morrison, R.D., 1999. Simulation in mineral processing history, present status and possibilities. The Journal of The South African Institute of Mining and Metallurgy, 99(6), pp. 283–288.
Mena, R. et al., 2013. Availability-based simulation and optimization modeling framework for open-pit
mine truck allocation under dynamic constraints. International Journal of Mining Science and Technology, 23(1), pp. 113–119. Available at: http://dx.doi.org/10.1016/j.ijmst.2013.01.017.
Modular Mining Systems, 2017. DISPATCH Fleet Management., 2017 (December 4th). Available at:
http://www.modularmining.com/.
Que, S., Anani, A. & Awuah-Offei, K., 2016. Effect of ignoring input correlation on truck–shovel simulation. International Journal of Mining, Reclamation and Environment, 30(5–6), pp. 405–421. Available at: http://dx.doi.org/10.1080/17480930.2015.1099188.
Raj, M.G., Vardhan, H. & Rao, Y.V, 2009. Production optimization using simulation models in mines:
A critical review. International Journal of Operational Research, 6(3), pp. 330–359.
Rist, K., 1961. The solution of a transportation problem by use of a Monte Carlo Technique. In
APCOM 1. Tucson, Arizona, USA: SME.
Sturgul, J.R., 1999. Discrete mine system simulation in the United States. International Journal
of Surface Mining, Reclamation and Environment, 13(2), pp. 37–41. Available at: http://dx.doi.
org/10.1080/09208119908944207.
Sturgul, J.R. & Eharrison, J., 1987. Simulation models for surface mines. International Journal of Surface Mining, Reclamation and Environment, 1(3), pp. 187–189.
Ta, C.H., Ingolfsson, A. & Doucette, J., 2013. A linear model for surface mining haul truck allocation incorporating shovel idle probabilities. European Journal of Operational Research, 231(3),
pp. 770–778. Available at: http://www.sciencedirect.com/science/article/pii/S0377221713005043
[Accessed April 23, 2015].
Torkamani, E. & Askari-Nasab, H., 2015. A linkage of truck-and-shovel operations to short-term mine
plans using discrete-event simulation. IJMME, 6(2), pp. 97–118. Available at: http://www.inderscienceonline.com/doi/abs/10.1504/IJMME.2015.070367.
Upadhyay, S.P., 2016. Simulation optimization of mine operations for uncertainty based short term and
operational planning in open pit mines. University of Alberta.
Upadhyay, S.P. & Askari-Nasab, H., 2017. Dynamic shovel allocation approach to short-term production planning in open-pit mines. International Journal of Mining, Reclamation and Environment,
pp. 1–20. Available at: http://dx.doi.org/10.1080/17480930.2017.1315524.
Upadhyay, S.P. & Askari-Nasab, H., 2016. Truck-shovel allocation optimisation: a goal programming
approach. Mining Technology, 00(0), pp. 1–11. Available at: http://www.tandfonline.com/doi/full/10.
1179/1743286315Y.0000000024.
Vagenas, N., 1999. Applications of discrete-event simulation in Canadian mining operations in the nineties. International Journal of Surface Mining, Reclamation and Environment, 13(2), pp. 77–78.
White, J.W. & Olson, J.P., 1986. Computer-based dispatching in mines with concurrent operating objectives. MIN ENG-LITTLETON, 38(11), pp. 1045–1054.
Yuriy, G. & Vayenas, N., 2008. Discrete-event simulation of mine equipment systems combined with a
reliability assessment model based on genetic algorithms. International Journal of Mining, Reclamation and Environment, 22(1), pp. 70–83.