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Strategy in Dispatching Trucks and Shovels with Different Capacity to Increase the Operating Efficiency in Cao Son Surface Coal Mine, Vietnam

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In surface mining operations, the operating costs of truck-shovel system constitutes 50-60% of the total. Only a little save in the operation costs in this system will bring large profit for the mines. Due to many investment periods, the capacity of both trucks and shovels in Cao Son surface coal mine is different. This leads to the low efficiency and the difficulty in dispatching strategy for the mine. This paper presents the current situation and selection of advanced dispatching strategy for increasing the efficiency trucks and shovels at this surface coal mine. The results show the detailed match factor reflects the state of each team of loader and trucks and should be use as the indicator for dispatching decision for the heterogeneous truck and shovel fleet at Cao Son surface coal mine.
Rocznik
Tom
Strony
487--494
Opis fizyczny
Bibliogr. 11 poz., rys., tab., wykr.
Twórcy
autor
  • Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam
  • Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam
autor
  • Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam
  • Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam
  • Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam
  • Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam
  • Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam
Bibliografia
  • 1. Pham Van Hoa, Bui Xuan Nam, Le Van Quyen, Le Thi Thu Hoa, and Pham Van Viet, 2019. Estimation of truck-shovel dispatching in Cao Son Open-Pit coal mine and the ability in applying information technology for increasing its efficiency, Inżynieria Miner., 21(2): 21-27, 2019, http://dx.doi.org/10.29227/IM-2019-02-53.
  • 2. Vinacomin, 2018, Technical data of Cao Son surface Coal mine (company document).
  • 3. Alarie, S. and Gamache, M., 2002, Overview of solution strategies used in truck dispatching systems for open pit mines, Int. J. Surf. mining, reclamation environment, 16(1): 59-76, https://doi.org/10.1076/ijsm.16.1.59.3408.
  • 4. Lizotte, Y., Bonates, E. and Leclerc, A., 1987, A design and implementation of a semi-automated truck/shovel dispatching system,” APCOM 87 Proc. 20th, 1(3): 377-387, [Online]. Available: http://www.saimm.co.za/Conferences/Apcom87Mining/377-Lizotte.pdf.
  • 5. Tu, J.H., Hucka V.J., 1985, Analysis of Open-Pit Truck Haulage Systems by Use of a Computer Model, CIM Bull., 78(879): 53–59.
  • 6. Sassos, M.P., 1984, Reserve’s mine management system,” E&MJ, pp. 42–49.
  • 7. Burt, C.N. and Caccetta, L., 2007, Match factor for heterogeneous truck and loader fleets Int. J. Mining, Reclam. Environ., 21(4): 262–270, https://doi.org/10.1080/17480930701388606.
  • 8. Burt, C.N., 2008, An Optimization Approach to Materials Handling in Surface Mines, Curtin University of Technology.
  • 9. Dabbagh, A. and Bagherpour, R., 2019, Development of a Match Factor and Comparison of Its Applicability with AntColony Algorithm in a Heterogeneous Transportation Fleet in an Open-Pit Mine, J. Min. Sci., 55(1): 51–63, https://doi.org/10.1134/S1062739119015287.
  • 10. Pham, K.Cong 2020. Research on technical solution of displacement and deformation monitoring of high-rise buildings in real time. Journal of Mining and Earth Sciences. 61, 3 (Jun, 2020), 75-87. DOI:https://doi.org/10.46326/JMES.2020.61(3).09.
  • 11. Pham, K.Cong and Nguyen, H.Van 2020. Investigation and design of monitoring systems in real time landslides at Xekaman 3 hydropower plant (in Vietnamese). Journal of Mining and Earth Sciences. 61, 1 (Feb, 2020), 11-20. DOI:https://doi.org/10.46326/JMES.2020.61(1).02.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-409b9900-44a6-495a-ab3e-ca3ebf44354c
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