Monte Carlo Simulation Approach To Improve Overburden Operational Performance: Case Study of PT Bukit Asam TBK

Authors

  • Fithri Halim Ahmad Institut Teknologi Bandung, Indonesia
  • Nur Budi Mulyono Institut Teknologi Bandung, Indonesia

DOI:

https://doi.org/10.38035/dijemss.v7i1.5110

Keywords:

Overburden Hauling, Data-Driven Approach, Operational Performance, Matching Factor, Effective Working Hours (EWH)

Abstract

This research develops a data-driven approach to improve overburden operational performance at PT Bukit Asam Tbk by utilizing Monte Carlo simulation as the primary analytical tool. Simulation results identified two main operational constraints. First, although the Matching Factor between loading and hauling equipment was balanced, the total fleet capacity was insufficient to achieve production targets. Second, poor synchronization (evidenced by high occurrences of “Wait Hauler” and “No Hauler” standby time) contributed to low Use of Availability (UA) and Equipment Utilization (EU), which reduces Effective Working Hours (EWH). First is to give addition to the fleet setting in East Pit 3, and second is to implement a real-time Mine Traffic Control (MTC) system. The proposed solutions were tested through simulation. Results showed that equipment addition could increase production by up to 26.8% and improve productivity by 1.76%. Meanwhile, the MTC system was projected to reduce controllable standby by 10.44%, increase EWH by 4.77%, and raise production under stable productivity conditions to 4.77%. Overall, the use of simulation and data-driven strategies proves effective in identifying root causes, designing measurable interventions, and validating their impact on productivity. The findings offer practical insights for improving operational efficiency of mining equipment operations in PT Bukit Asam Tbk

References

Cabaneros, R. T., & Hughes, R. C. (2022). Optimizing coal hauling operations: A strategic planning perspective. International Journal of Mining, Reclamation and Environment, 36(3), 189–204. https://doi.org/10.1080/17480930.2021.1958993

Directorate General of Minerals and Coal (2021). Roadmap for the Development and Utilization of Coal. https://www.esdm.go.id/assets/media/content/content-buku-road-map-pengembangan-dan-pemanfaatan-batubara.pdf

Gu, Q., Lu, C., Li, F., & Wan, C. (2008). Monitoring dispatch information system of trucks and shovels in an open pit based on GIS/GPS/GPRS. Journal of China University of Mining and Technology, 18(2), 288–292. https://doi.org/10.1016/S1006-1266(08)60061-9

Habibzadeh, F., & Yadollahie, M. (2008). Journal weighted impact factor: A proposal. Journal of Informetrics, 2(2), 164–172. https://doi.org/10.1016/j.joi.2008.02.001

International Energy Agency. (2022). Total electricity system costs per unit by component in emerging market and developing economies in the Announced Pledges Scenario, 2021–2050 [Chart]. IEA. https://www.iea.org/data-and-statistics/charts/total-electricity-system-costs-per-unit-by-component-in-emerging-market-and-developing-economies-in-the-announced-pledges-scenario-2021-2050

Joko, G., & Mulyono, N. B. (2021). Optimizing Coal Hauling Operations: A Strategic Plan for Increased Productivity at PT Borneo. Logistic and Operation Management Research (LOMR), 2(1), 63–81. https://doi.org/10.31098/lomr.v2i1.1529

Lin, L., Wang, Y., Zhang, Q., & Li, Y. (2022). A Monte Carlo-based adaptive weighted reduced order model for gamma density measurement. Annals of Nuclear Energy, 178, 109341. https://doi.org/10.1016/j.anucene.2022.109341

Papadopoulos, C. E., & Yeung, H. (2001). Uncertainty estimation and Monte Carlo simulation method. Flow Measurement and Instrumentation, 12(4), 291–298. https://doi.org/10.1016/S0955-5986(01)00015-2

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Published

2025-10-19

How to Cite

Ahmad, F. H., & Mulyono, N. B. . (2025). Monte Carlo Simulation Approach To Improve Overburden Operational Performance: Case Study of PT Bukit Asam TBK. Dinasti International Journal of Education Management and Social Science, 7(1), 462–482. https://doi.org/10.38035/dijemss.v7i1.5110

Issue

Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (October - November 2025)

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Copyright (c) 2025 Fithri Halim Ahmad, Nur Budi Mulyono

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