Tunnel and Underground Space (터널과지하공간)

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

DOI QR Code

Development of Work Report for Evaluating KPIs of Truck Haulage Operation in Open Pit and Underground Mines

노천 및 지하 광산 트럭 운반 작업의 핵심성과지표 평가를 위한 작업 일지 개발

  • Park, Sebeom (Department of Energy Resources Engineering, Pukyong National University) ;
  • Choi, Yosoon (Department of Energy Resources Engineering, Pukyong National University)
  • 박세범 (부경대학교 에너지자원공학과) ;
  • 최요순 (부경대학교 에너지자원공학과)
  • Received : 2022.10.04
  • Accepted : 2022.10.19
  • Published : 2022.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

The standard work report for trucks was developed that records data on truck haulage operations in open-pit and underground mines, and to evaluate the performance of haulage operations. Work reports used in 5 mines in Korea was secured and analyzed, and items to be included in the standard work report were determined. By analyzing the formulas for key performance indicators (KPIs) proposed by the Global Mining Guidelines Group (GMG), it was possible to determine how to record time-related data. After selecting a limestone underground mine as a research area, the performance of haulage operations was evaluated using a standard work report. As a result, in terms of truck availability, uptime was 46.7%, and both physical and mechanical availability were 100%. In the case of utilization, use of availability was 88.2%, the asset utilization was 41.1%, and operating and effective utilization were 88.2% and 79.2%, respectively. Also, in terms of efficiency, operating efficiency was found to be 89.9%.

본 연구에서는 노천 및 지하 광산의 트럭 운반 작업에 대한 데이터를 기록하고, 이를 이용하여 운반 작업의 성능을 평가할 수 있는 표준 트럭 작업 일지를 개발하였다. 국내에서 가행 중인 5곳의 광산에서 활용하고 있는 작업 일지를 확보하여 분석을 수행하였고, 작업 일지에 포함되어야 할 항목들을 결정하였다. GMG (Global Mining Guidelines Group)에서 제안한 핵심성과지표(KPIs)들의 산정식을 분석하여 차량 운행시간을 기록하는 방법을 결정할 수 있었다. 국내의 석회석 지하 광산을 연구지역으로 선정한 후 표준 트럭 작업 일지를 이용하여 운반 작업의 성능을 평가하였다. 그 결과, 트럭의 가용률 측면에서 가동시간이 46.7%, 물리적 가용률과 기계적 가용률은 모두 100%로 나타났다. 이용률의 경우, 가용장비 이용률이 88.2%, 자산 이용률이 41.1%, 운영 이용률과 유효 이용률은 각각 88.2%와 79.2%로 나타났다. 효율성의 경우에는 운영 효율성이 89.9%로 나타났다.

Keywords

Acknowledgement

본 연구는 2022년도 정부(산업통상자원부)의 재원으로 한국에너지기술평가원 신산업 맞춤형 핵심광물개발활용기술개발사업의 지원을 받아 수행되었다(과제명: 신북방지역 주석광 맞춤형 ICT기반 채광 및 저비용/고효율 선광기술 개발 실증, 과제번호: 20227A10100020).

References

  1. Alarie, S. and Gamache, M., 2002, Overview of solution strategies used in truck dispatching systems for open pit mines, International Journal of Surface Mining, Reclamation and Environment, 16(1), 59-76. https://doi.org/10.1076/ijsm.16.1.59.3408
  2. Arputharaj, M.M., 2015, Studies on availability and utilisation of mining equipment-an overview, International Journal of Advanced Research in Engineering and Technology, 6(3), 14-21.
  3. Baek, J., Choi, Y., Lee, C., Suh, J., and Lee, S., 2017, BBUNS: Bluetooth beacon-based underground navigation system to support mine haulage operations, Minerals, 7(12), 228-243.
  4. Baek, J., Suh, J., and Choi, Y., 2018, Analysis of reviewed signal strength index from bluetooth beacons to develop proximity warning systems for underground mines, Journal of the Korean Society of Mineral and Energy Resources Engineers, 55(6), 604-613. https://doi.org/10.32390/ksmer.2018.55.6.604
  5. Bellanca, J.L., Orr, T.J., Helfrich, W.J., Macdonald, B., Navoyski, J., and Demich, B., 2019, Developing a Virtual Reality Environment for Mining Research, Mining, Metallurgy & Exploration, 36(4), 597-606. https://doi.org/10.1007/s42461-018-0046-2
  6. 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, Balkema, Rotterdam, Netherlands, pp. 51-57.
  7. 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.
  8. Gackowiec, P., Podobinska-Staniec, M., Brzychczy, E., Kuhlbach, C., and Ozver, T., 2020, Review of key performance indicators for process monitoring in the mining industry, Energies, 13(19), 5169. https://doi.org/10.3390/en13195169
  9. Global Mining Guidelines Group, 2020, A Standardized Time Classification Framework for Mobile Equipment in Surface Mining: Operational Definitions, Time Usage Model, and Key Performance Indicators, Retrieved April 5, 2022, from https://gmggroup.org/guidelines-and-publications/.
  10. Hague, K.P., 2021, Strategic Implementation of Digital Technologies to Optimize Operations in an Underground Mine, Doctoral Dissertation, The University of Arizona.
  11. Hartman, H.L. and Mutmansky, J.M., 2002, Unit operations of mining. In Introductory Mining Engineering, 2nd ed., Wiley: New York, USA, pp. 119-152.
  12. Jang, H., 2019, Australian Mining Transformation and Future Prospects in Response to the 4th Industrial Revolution, Journal of the Korean Society of Mineral and Energy Resources Engineers, 56(5), 490-513. https://doi.org/10.32390/ksmer.2019.56.5.490
  13. Jung, J. and Choi, Y., 2017, Measuring transport time of mine equipment in an underground mine using a bluetooth beacon system, Minerals, 7(1), 1. https://doi.org/10.3390/min7010001
  14. Jung, J., Baek, J., and Choi, Y., 2016, Analysis of Features and Applications of Bluetooth Beacon Technology for Utilization in the Mining and Construction Industries, Tunnel and Underground Space, 26(3), 143-153. https://doi.org/10.7474/TUS.2016.26.3.143
  15. Kennedy, B., 1990, Surface Mining, Littleton, Colorado: Society for Mining, Metallurgy, and Exploration. (2nd Edition).
  16. Kim, B. and Yoo, K., 2021, Digital Innovation in Mining Industries, Journal of the Korean Society of Mineral and Energy Resources Engineers, 58(1), 61-65. https://doi.org/10.32390/ksmer.2021.58.1.061
  17. Kim, Y., Baek, J., and Choi, Y., 2021, Smart Helmet-Based Personnel Proximity Warning System for Improving Underground Mine Safety, Applied Sciences, 11(10), 4342. https://doi.org/10.3390/app11104342
  18. Korea Institute of Geoscience and Mineral Resources, 2022, Yearbook of Minerals Statistics. https://www.kigam.re.kr/gallery-Download.es?bid=0026&list_no=3142&seq=1 [Accessed October 18, 2022].
  19. Park, S. and Choi, Y., 2021a, Bluetooth Beacon-Based Mine Production Management Application to Support Ore Haulage Operations in Underground Mines, Sustainability, 13(4), 2281. https://doi.org/10.3390/su13042281
  20. Park, S. and Choi, Y., 2021b, Analysis and Diagnosis of Truck Transport Routes in Underground Mines Using Transport Time Data Collected through Bluetooth Beacons and Tablet Computers, Applied Sciences, 11(10), 4525. https://doi.org/10.3390/app11104525
  21. Park, S. and Choi, Y., 2022a, Development of Applications for Recording Ore Production Data and Writing Daily Work Report of Dump Truck in Mining Sites, Tunnel and Underground Space, 32(2), 93-106. https://doi.org/10.7474/TUS.2022.32.2.093
  22. Park, S. and Choi, Y., 2022b, Current State of Digital Information Gap in the Korean Mining Industry and its Mitigation Strategy: A Case of Daily Work Report App Development, Journal of the Korean Society of Mineral and Energy Resources Engineers, 59(2), 173-181. https://doi.org/10.32390/ksmer.2022.59.2.173
  23. Park, S. and Choi, Y., 2022c, Analysis of International Standardization Trends of Smart Mining Technology: Focusing on GMG Guidelines, Tunnel and Underground Space, 32(3), 173-193. https://doi.org/10.7474/TUS.2022.32.3.173
  24. Park, S. and Choi, Y., 2022d, Performance Evaluation of Truck Haulage Operations in an Underground Mine using GMG's Time Usage Model and Key Performance Indicators, Tunnel and Underground Space, 32(4), 254-271. https://doi.org/10.7474/TUS.2022.32.4.254
  25. Park, S., Choi, Y., and Park, H. S., 2014, Simulation of shovel-truck haulage systems in open-pit mines by considering breakdown of trucks and crusher capacity, Tunnel and Underground Space, 24(1), 1-10. https://doi.org/10.7474/TUS.2014.24.1.001
  26. Pfleider, E., 1968, Surface Mining (1st Edition), New York: American Institute of Mining, Metallurgical, and Petroleum Engineers.
  27. Suboleski, S.C., 1975, Mine Systems Engineering Lecture Notes, The Pennsylvania State University, University Park, Pennsylvania, USA.
  28. Temeng, V.A., 1997, A computerized model for truck dispatching in open pit mines, Phd Thesis, Michigan Technological University, Michigan, USA. 306p.