Journal of the Korean Society of Mineral and Energy Resources Engineers ISSN:2288-0291(Print) 2288-2790(Online) 한국자원공학회지

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Choi, Y., 2011. New software for simulating truck-shovel operation in open pit mines, Journal of the Korean Society of Mineral and Energy Resources Engineers, 48(4), p.448-459.

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Gackowiec, P., Podobińska-Staniec, M., Brzychczy, E., Kühlbach, C., and Özver, T., 2020. Review of key performance indicators for process monitoring in the mining industry, Energies, 13(19), 5169.

Greberg, J., Salama, A., Gustafson, A., and Skawina, B., 2016. Alternative process flow for underground mining operations: analysis of conceptual transport methods using discrete event simulation, Minerals, 6(3), 65.

Huayanca, D., Bujaico, G., and Delgado, A., 2023. Application of discrete-event simulation for truck fleet estimation at an open-pit copper mine in Peru, Applied Sciences, 13(7), 4093.

Jung, D., Baek, J., and Choi, Y., 2020. Simulation and Real-time Visualization of Truck-Loader Haulage Systems in an Open Pit Mine using AnyLogic, Journal of The Korean Society of Mineral and Energy Resources Engineers, 57(1), p.45-57.

Jung, D., Baek, J., and Choi, Y., 2021. Stochastic predictions of ore production in an underground limestone mine using different probability density functions: a comparative study using big data from ICT system, Applied Sciences, 11(9), 4301.

Krysa, Z., Bodziony, P., and Patyk, M., 2021. Discrete simulations in analyzing the effectiveness of raw materials transportation during extraction of low-quality deposits, Energies, 14(18), 5884.

Nobahar, P., Xu, C., Dowd, P., and Faradonbeh, S.R., 2024. Exploring digital twin systems in mining operations: a review, Green and Smart Mining Engineering, 1(4), p.474-492.

Park, S. and Choi, Y., 2013. Simulation of shovel-truck haulage system by considering truck dispatch method, Journal of The Korean Society of Mineral and Energy Resources Engineers, 50(4), p.543-556.

Park, S., Choi, Y., and Park, H., 2014a. Simulation of shovel truck haulage system in open-pit mines by considering breakdown of trucks and crusher capacity, Tunnel & Underground Space, 24(1), p.1-10.

Park, S., Choi, Y., and Park, H., 2014b. Simulation of truck-loader haulage systems in underground mine using GPSS/H, Tunnel & Underground Space, 24(6), p.430-439.

Park, S., Choi, Y., and Park, H., 2016. Optimization of truck-loader haulage systems in an underground mine using simulation methods, Geosystem Engineering, 19(5), p.222-231.

Park, S., Jung, D., and Choi, Y., 2023. Prediction of ore production in a limestone underground mine by combining machine learning and discrete event simulation techniques, Minerals, 13(6), 830.

Park, S., Lee, S., Choi, Y., and Park, H., 2014c. Development of a Windows-based simulation program for selecting equipments in open-pit shovel-truck haulage systems, Tunnel & Underground Space, 24(2), p.111-119.

Van Eyk, L. and Heyns, P.S., 2024. A framework to define, design and construct digital twins in the mining industry. Computers & Industrial Engineering, 200, 110805.

Zeng, W., Baafi, E.Y., and Fan, H., 2022. A simulation model to study truck-allocation options, Journal of the Southern African Institute of Mining and Metallurgy, 122(12), p.741-750.