Tunnel and Underground Space (터널과지하공간)

Korean Society for Rock Mechanics and Rock Engineering (한국암반공학회)
권호 표지
DOI QR코드

DOI QR Code

Simulation of Shovel-Truck Haulage Systems in Open-pit Mines by Considering Breakdown of Trucks and Crusher Capacity

트럭 고장 및 파쇄기 처리용량을 고려한 노천광산 쇼밸-트럭 운반 시뮬레이션

  • 박세범 (부경대학교 환경해양대학 에너지자원공학과) ;
  • 최요순 (부경대학교 환경해양대학 에너지자원공학과) ;
  • 박한수 (대성엠디아이(주) 신소재기술연구소)
  • Received : 2013.11.12
  • Accepted : 2013.12.17
  • Published : 2014.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents a case study that performed simulations on shovel-truck haulage systems in an open-pit mine by considering truck's breakdown and crusher's capacity. The SSangyoung limestone open-pit mine in Korea was selected as a study area and investigated to design the simulation algorithms. The GPSS/H simulation language is used to implement the simulation algorithms as a console application(simulator). The values of input parameters for simulator were measured by field investigation in the study area. The simulation results showed that 7 trucks can maximize the daily profit of haulage operations(i.e., 73,775 USD) when considers the frequency of trucks' breakdown as 1/40 $hour^{-1}$. In addition, the crusher capacity of 1300 tph is required to improve the efficiency of shovel-truck haulage systems in the study area.

본 논문에서 트럭의 고장 발생 가능성과 파쇄기의 처리 용량 변화를 고려하여 노천광산 소밸-트럭 운반시스템의 시뮬레이션을 수행한 사례연구 결과를 제시한다. 강원도 동해시에 위치한 쌍용자원개발 석회석 노천광산을 연구지역으로 선정하고, 시뮬레이션 알고리즘을 설계 하였다. GPSS/H 시뮬레이션 언어를 이용하여 설계된 시뮬레이션 알고리즘들을 콘솔 프로그램 형식의 시뮬레이터로 개발하였다. 또한, 연구지역의 현장조사를 통해 시뮬레이터에 입력되는 인자 값들은 직접 측정하였다. 시뮬레이션 결과 40시간 빈도의 트럭 고장 발생 가능성을 고려할 경우에는 7대의 트럭을 시스템에 투입하는 것이 하루 평균수익을 73,775 USD로 최대화할 수 있는 것으로 분석되었다. 또한, 파쇄기의 처리 용량은 1,300 thp로 운영하는 것이 연구지역의 쇼밸-트럭 운반 시스템의 효율을 높일 수 있는 것으로 분석되었다.

Keywords

References

  1. Aksoy, M. and Yalcin, E., 2000, A computer program for open pit mine equipment selection: TruckMac, In: Panagiotou, G. N. and Michalakopoulos, T. N. (eds), Mine Planning and Equipment Selection 2000, Balkema, Rotterdam, Netherlands, pp. 499-503.
  2. Alarie, S. and Gamache, M., 2002, Overview of solution strategies used in truck dispatching systems for open pit mines, International Joural of Surface Mining, Reclamation and Environment, Vol. 16, No. 1, pp. 55-76.
  3. Blackwell, G. H., 1999, Estimation of large open pit haulage truck requirements, CIM Bulletin, Vol. 92, No. 1028, pp. 143-149.
  4. Bonates, E. J. L., 1996, Interactive truck haulage simulation program, In: Hennies, W. T., Ayres Da Silva, L. A. and Chaves, A. P. (eds), Mine Planning and Equipment Selection 1996, Balkerma, Rotterdam, Netherlands, pp. 51-57.
  5. Cardu, M., Sacerdote, I., Margro, A. and Crosa, M., 2004, Analysis of possible alternatives for the exploration and hauling system in a marl mine (Tavernola BG, Italy), In: Hardygora, M., Paszkowsa, G. and Sikora, M. (eds), Mine Planning and Equipment Selection 2004, Taylor & Francis Group, London, UK, pp. 543-551.
  6. Choi, Y., 2011, New software for simualting truck-shovel operation in open pit mines, Journal of the Korean Society for Geosystem Engineering, Vol. 48, No. 4, pp. 448-459
  7. Choi, Y. and Nieto, A., 2011a, Optimal haulage routing of off-road dump trucks in construction and mining sites using Google Earth and a modified least-cost path algorithm, Automation in Construction, Vol. 20, No. 7, pp. 982-997. https://doi.org/10.1016/j.autcon.2011.03.015
  8. Choi, Y. and Nieto, A., 2011b, Software for simulating open-pit truck/shovel haulage systems using Google Earth and GPSS/H, Journal of the Korean Society for Geosystem Engineering, Vol. 48, No. 6, pp. 734-743.
  9. Ercelebi, S. G. and Bascetin, A., 2009, Optimization of shovel-truck system for surface mining, The journal of the Southern African Institute of Mining and Metallurgy, Vol. 109, pp. 433-439.
  10. Hartman, H. L. and Mutmansky. J. M., 2002 Introductory mining engineering, 2nd Ed, John Wiley & Sons, New York, USA, 584p.
  11. Krause, A. and Musingwini, C., 2007, Modelling open pit shovel-truck systems using the machine repair model, The journal of the Southern African Institute of Mining and Metallurgy, Vol. 107, pp. 469-476.
  12. MKE and KIGAM, 2011, Annual report of mineral supply and demand status in korea, http://rik.kigam.re.kr/portal/ (Access at 06 November 2013).
  13. Oraee, K. and Asi, B., 2004, Fuzzy model for truck allocation in surface mines, Hardygora, M., Paszkowska, G. and Sikora, M. (eds), Mine Planning and Equipment Selection 2004, Taylor & Francis Group, London, UK, pp. 585-591.
  14. Park, S. and Choi, Y., 2013, Simulation of shovel-truck haulage system by considering truck dispatch methods, Journal of the Korean Society for Geosystem Engineering, Vol. 50, No. 4, pp. 543-556.
  15. Park, B., Choi, Y., Park, H. S., 2013, Creation of Vector Network Data with Considering Terrain Gradient for Analyzing Optimal Haulage Routes of Dump Trucks in Open Pit Mines, Journal of the Korean Society for Rock Mechanics, Vol. 23, No. 5, pp. 353-361. https://doi.org/10.7474/TUS.2013.23.5.353
  16. Suboleski, S. C., 1975, Mine Systems Engineering Lecture Notes, The Pennsylvania State University, University Park, Pennsylvania, USA.
  17. Temeng, V. A., 1997, A computerized model for truck dispatching in open pit mines. PhD dissertation, Michigan Technological University, Michigan, USA, pp. 1-12.
  18. Yan, S. and Lai, W., 2007, An optimal scheduling model for ready mixed concrete supply with overtime considerations, Automation in Construction, Vol. 16, No. 6, pp. 734-744. https://doi.org/10.1016/j.autcon.2006.12.009
  19. Zhang, H., 2008, Multi-objective simulation-optimization for earthmoving operation, Automation in Construction, Vol. 18, No. 1, pp. 79-86. https://doi.org/10.1016/j.autcon.2008.05.002

Cited by

  1. Development of a Windows-based Simulation Program for Selecting Equipments in Open-pit Shovel-Truck Haulage Systems vol.24, pp.2, 2014, https://doi.org/10.7474/TUS.2014.24.2.111
  2. Simulation of Truck-Loader Haulage Systems in an Underground Mine using GPSS/H vol.24, pp.6, 2014, https://doi.org/10.7474/TUS.2014.24.6.430
  3. Development and Utilization of Mine Management Software: A Review vol.25, pp.3, 2015, https://doi.org/10.7474/TUS.2015.25.3.221
  4. Development of a Windows-based Program for Discrete Event Simulation of Truck-Loader Haulage Systems in an Underground Mine vol.26, pp.2, 2016, https://doi.org/10.7474/TUS.2016.26.2.087
  5. Integration of Simulation and Animation for Truck-Loader Haulage Systems in an Underground Mine Using GPSS/H and PROOF5 vol.55, pp.3, 2018, https://doi.org/10.32390/ksmer.2018.55.3.185