All Issue

2024 Vol.61, Issue 2

Research Paper

30 April 2024. pp. 89-99
Abstract
References
1

Adjiski, V., Mirakovski, D., Despodov, Z., and Mijalkovski, S., 2015. Simulation and optimization of evacuation routes in case of fire in underground mines, Journal of Sustainable Mining, 14(3), p.133-143.

10.1016/j.jsm.2015.10.001
2

Baek, J. and Choi, Y., 2019. Simulation of truck haulage operations in an underground mine using big data from an ICT-Based mine safety management system, Applied Sciences, 9, 2639p.

10.3390/app9132639
3

Bakhtavar, E. and Mahmoudi, H., 2020. Development of a scenario-based robust model for the optimal truck-shovel allocation in open-pit mining, Computers & Operations Research, 115, 104539p.

10.1016/j.cor.2018.08.003
4

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.

5

Choi, Y. and Nieto, A., 2011. Software for simulating open-pit truck/shovel haulage systems using Google Earth and GPSS/H, Journal of The Korean Society of Mineral and Energy Resources Engineers, 48(6), p.734-743.

6

Choi, Y., Park, S., Lee, S., Baek, J., Jung, J., and Park, H., 2016. Development of a windows-based program for discrete event simulation of truck-loader haulage systems in an underground mine, Tunnel & Underground Space, 26(2), p.87-99.

10.7474/TUS.2016.26.2.087
7

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, 65p.

10.3390/min6030065
8

Huerta, J.R., Silva, R.S., De Tomi, G., and da Silva, A.L.M.A., 2022. A dynamic simulation approach to support operational decision-making in underground mining, Simulation Modelling Practice and Theory, 115, 102458p.

10.1016/j.simpat.2021.102458
9

Jung, D. and Choi, Y., 2021. Prediction of blast vibration in quarry using machine learning models, Tunnel & Underground Space, 31(6), p.508-519.

10.7474/TUS.2021.31.6.508
10

Jung, D. and Choi, Y., 2022. Development of machine learning models for predicting air overpressure in an open-pit mine, Journal of the Korean Society of Mineral and Energy Resources Engineers, 59(1), p.59-68.

10.32390/ksmer.2022.59.1.059
11

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.

10.32390/ksmer.2020.57.1.045
12

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, 4301p.

10.3390/app11094301
13

Kumral, M., 2013. Optimizing ore-waste discrimination and block sequencing through simulated annealing, Applied Soft Computing, 13(8), p.3737-3744.

10.1016/j.asoc.2013.03.005
14

Kurnia, J.C., Sasmito, A.P., and Mujumdar, A.S., 2014a. CFD simulation of methane dispersion and innovative methane management in underground mining faces, Applied Mathematical Modelling, 38(14), p.3467-3484.

10.1016/j.apm.2013.11.067
15

Kurnia, J.C., Sasmito, A.P., and Mujumdar, A.S., 2014b. Simulation of a novel intermittent ventilation system for underground mines, Tunnelling and Underground Space Technology, 42, p.206-215.

10.1016/j.tust.2014.03.009
16

Lee, C. and Choi, Y., 2018. Integration of simulation and animation for truck-loader haulage systems in an underground mine using GPSS/H and PROOF5, Journal of The Korean Society of Mineral and Energy Resources Engineers, 55(3), p.185-193.

10.32390/ksmer.2018.55.3.185
17

Lee, C., Hong, K., and Cho, T., 2001. Estimation of usable cut-out volume considering the structural and engineering properties of rock mass, The Journal of Engineering Geology, 11, p.101-113.

18

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.

10.12972/ksmer.2013.50.4.543
19

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.

10.7474/TUS.2014.24.1.001
20

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.

10.7474/TUS.2014.24.6.430
21

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.

10.7474/TUS.2014.24.2.111
22

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.

10.1080/12269328.2016.1176538
23

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), 830p.

10.3390/min13060830
24

Rist, K., 1961. The solution of a transportation problem by use of a Monte Carlo technique, Proceedings of the 1st APCOM conference, Univ. of Arizona in Tucson, USA, Nov, 1961, L2-1.

25

Upadhyay, S.P. and Askari-Nasab, H., 2018. Simulation and optimization approach for uncertainty-based short-term planning in open pit mines, International Journal of Mining Science and Technology, 28(2), p.153-166.

10.1016/j.ijmst.2017.12.003
26

Van Vianen, T., Ottjes, J., and Lodewijks, G.. 2014. Simulation-based determination of the required stockyard size for dry bulk terminals, Simulation Modelling Practice and Theory, 42, p.119-128.

10.1016/j.simpat.2013.12.010
27

Wanjun, T. and Qingxiang, C.. 2018. Dust distribution in open-pit mines based on monitoring data and fluent simulation, Environmental Monitoring and Assessment, 190, 632p.

10.1007/s10661-018-7004-930284664
Information
  • Publisher :The Korean Society of Mineral and Energy Resources Engineers
  • Publisher(Ko) :한국자원공학회
  • Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
  • Journal Title(Ko) :한국자원공학회지
  • Volume : 61
  • No :2
  • Pages :89-99
  • Received Date : 2024-01-29
  • Revised Date : 2024-03-19
  • Accepted Date : 2024-03-19