Dump truck productivity enhancement through haul road geometry correction: a rimpull-based cycle time simulation
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Published: October 8, 2026
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Page: 267-278
Abstract
This study aimed to evaluate haul road geometry on the overburden route of Pit B at a coal mining contractor in Sarolangun, Jambi, Indonesia, and to estimate dump truck cycle time and productivity after geometry correction. An observational–evaluative field design was applied: 48 cross-sections of a 523.82 m road were surveyed with a Total Station and assessed against the Indonesian good mining practice decree, 30 truck trips were timed, and the corrected condition was simulated with a rimpull–resistance model. Only 18.75% of cross-sections met the study design criterion for two-lane width, the steepest descent reached −21.68% against a 12% limit, 45.8% met the cross-slope range on a two-side mean basis, and all curve radii complied. Delays caused by narrow and steep sections made up 69.2% of total delay. Correcting grade and width was predicted to reduce the cycle time from 11.99 to 9.47 minutes (21.0%; 95% bootstrap interval 20.1–21.9%) and to raise truck productivity from 32.06 to 40.60 bank cubic metres per hour (26.6%). If only half of the assumed speed gains were realised, the reduction would fall to 14.7%. These are simulation-based predictions that require field validation after road correction.
- Haul road geometry,
- Cycle time,
- Dump truck productivity,
- Overburden removal,
- Rimpull–resistance simulation

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- Agosti, A., Utili, S., Tasker, J., Zhang, C., Knights, P., Nehring, M., & Zia, S. (2022). The effect of carbon tax and optimal slope profiles on profitability and emissions of open pit mines. Mining Technology: Transactions of the Institutions of Mining and Metallurgy, 132(1), 1–16. https://doi.org/10.1080/25726668.2022.2122336
- Alarie, S., & 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
- Alegre, D., Peroni, R. de L., Aquino, E. da R., & Dille, F. (2021). A method to assess haul roads rolling resistance using dispatch system data. Mining Technology, 130(3), 176–187. https://doi.org/10.1080/25726668.2021.1935098
- Ataeepour, N., & Baafi, E. Y. (1999). ARENA simulation model for truck-shovel operation in despatching and non-despatching modes. International Journal of Surface Mining, Reclamation and Environment, 13(3), 125–129. https://doi.org/10.1080/09208119908944228
- Awuah-Offei, K. (2016). Energy efficiency in mining: A review with emphasis on the role of operators in loading and hauling operations. Journal of Cleaner Production, 117, 89–97. https://doi.org/10.1016/j.jclepro.2016.01.035
- Baek, J., & Choi, Y. (2017). A new method for haul road design in open-pit mines to support efficient truck haulage operations. Applied Sciences, 7(7), 747. https://doi.org/10.3390/app7070747
- Bodziony, P., & Patyk, M. (2024). The influence of the mining operation environment on the energy consumption and technical availability of truck haulage operations in surface mines. Energies, 17(11), 2654. https://doi.org/10.3390/en17112654
- Bodziony, P., Krysa, Z., & Patyk, M. (2025). Operational environment effects on energy consumption and reliability in mine truck haulage. Energies, 18(12), 3022. https://doi.org/10.3390/en18123022
- Chanda, E. K., & Gardiner, S. (2010). A comparative study of truck cycle time prediction methods in open-pit mining. Engineering, Construction and Architectural Management, 17(5), 446–460. https://doi.org/10.1108/09699981011074556
- Chang, Y., Ren, H., & Wang, S. (2015). Modelling and optimizing an open-pit truck scheduling problem. Discrete Dynamics in Nature and Society, 2015, 745378. https://doi.org/10.1155/2015/745378
- Coffey, J., Nikraz, H., & Leek, C. (2019). Energy consumption in mine haulage due to road pavement performance. Mining Technology, 128(2), 106–117. https://doi.org/10.1080/25726668.2019.1577062
- Dudek, M., Dworzak, M., & Biessikirski, A. (2025). Influence of blasting approaches in in-pit haul road construction on emission levels and resource management: A case study from the Holcim “Dubie” open-pit mine. Applied Sciences, 15(22), 12310. https://doi.org/10.3390/app152212310
- EFIX Geomatics Co., Ltd. (2023). ETSR4 easy-to-use reflectorless total station: Technical specifications [Product datasheet]. Shanghai: EFIX Geomatics Co., Ltd.
- Ercins, S., & Bostancıoğlu, M. (2025). Investigation of the sufficiency of CBR method sections used in the design of mine haul roads with the mechanistic method. Revista de la Construcción, 24(1), 75–88. https://doi.org/10.7764/RDLC.24.1.75
- Golbasi, O., & Kina, E. (2022). Haul truck fuel consumption modeling under random operating conditions: A case study. Transportation Research Part D: Transport and Environment, 102, 103135. https://doi.org/10.1016/j.trd.2021.103135
- Gouda, J., Reddy, D. S. R., Srinivasan, V., & Butle, V. (2024). Comprehensive review of haul road design methods: A comparative approach. Archives of Mining Sciences, 69(3), 529–554. https://doi.org/10.24425/ams.2024.151449
- Icarte-Ahumada, G., Goyo, M., Godoy, V., & Herzog, O. (2026). Centralized evolutionary optimization and decentralized agent-based scheduling for open-pit mine dispatching. Applied Sciences, 16(15), 7595. https://doi.org/10.3390/app16157595
- Imammuti, D., & Andas, J. (2024). Tambang batubara terbuka PT Bima Putra Abadi Citranusa (BPAC): Evaluasi geometri jalan segment inpit dump sidewall Pit BPAC. Bina Tambang, 9(2), 67–72. https://doi.org/10.24036/bt.v9i2.127906
- Kementerian Energi dan Sumber Daya Mineral. (2018). Keputusan Menteri Energi dan Sumber Daya Mineral Nomor 1827 K/30/MEM/2018 tentang Pedoman Pelaksanaan Kaidah Teknik Pertambangan yang Baik. Jakarta: Kementerian ESDM.
- Liu, G., & Chai, S. (2019). Optimizing open-pit truck route based on minimization of time-varying transport energy consumption. Mathematical Problems in Engineering, 2019, 6987108. https://doi.org/10.1155/2019/6987108
- Maior, G. R. de S., Peroni, R. de L., & Mariz, J. L. V. (2025). Assessing the impact of road geometry and rolling resistance on transportation costs and productivity in an iron ore mine in Brazil. REM – International Engineering Journal, 78(4), e250002. https://doi.org/10.1590/0370-44672025780002
- Meneses, D., & Sepúlveda, F. D. (2023). Modeling productivity reduction and fuel consumption in open-pit mining trucks by considering the temporary deterioration of mining roads through discrete-event simulation. Mining, 3(1), 96–105. https://doi.org/10.3390/mining3010006
- Mesa, J. A., Hincapie-Florez, D., Bobadilla-Vasquez, M., Corredor, L., Pupo-Roncallo, O., & Gonzalez-Quiroga, A. (2025). Assessing technological trends in mining fleet energy management toward sustainable mineral extraction. Resources Policy, 109, 105714. https://doi.org/10.1016/j.resourpol.2025.105714
- Mnzool, M., Almujibah, H., Bakri, M., Gaafar, A., Elhassan, A. A. M., & Gomaa, E. (2024). Optimization of cycle time for loading and hauling trucks in open-pit mining. Mining of Mineral Deposits, 18(1), 18–26. https://doi.org/10.33271/mining18.01.018
- Nasirinezhad, A., Stevanovic, D., Krzanovic, D., & Rahmanpour, M. (2025). Model for optimizing waste-haulage systems in open-pit mines (trucks vs. IPCC system). Applied Sciences, 15(24), 13148. https://doi.org/10.3390/app152413148
- Noriega, R., Pourrahimian, Y., & Askari-Nasab, H. (2025). Deep reinforcement learning based real-time open-pit mining truck dispatching system. Computers & Operations Research, 173, 106815. https://doi.org/10.1016/j.cor.2024.106815
- Osses Aguayo, I. A., Nehring, M., & Ullah, G. M. W. (2022). Simulating the productivity improvements of incorporating a surge loader into the open pit loading and haulage system. International Journal of Mining, Reclamation and Environment, 36(6), 381–398. https://doi.org/10.1080/17480930.2022.2047528
- Sahoo, L. K., Bandyopadhyay, S., & Banerjee, R. (2014). Benchmarking energy consumption for dump trucks in mines. Applied Energy, 113, 1382–1396. https://doi.org/10.1016/j.apenergy.2013.08.058
- Shakenov, A. T., Utegenova, A. Y., Stolpovskikh, I. N., Orumbassarova, A. B., Malozyomov, B. V., & Martyushev, N. V. (2026a). Field-validated multisensor assessment of haul-road degradation and its association with fuel-use proxy burden, dynamic response, and transport-cycle stability in open-pit mining. Mining, 6(3), 49. https://doi.org/10.3390/mining6030049
- Shakenov, A. T., Utegenova, A. Y., Stolpovskikh, I. N., Orumbassarova, A. B., Malozyomov, B. V., & Martyushev, N. V. (2026b). Quasi-experimental field assessment of haul-road maintenance effects on fuel consumption, cycle time and mechanical loading of open-pit dump trucks. Applied Sciences, 16(15), 7773. https://doi.org/10.3390/app16157773
- Siami-Irdemoosa, E., & Dindarloo, S. R. (2015). Prediction of fuel consumption of mining dump trucks: A neural networks approach. Applied Energy, 151, 77–84. https://doi.org/10.1016/j.apenergy.2015.04.064
- Tadubana, G., Sigweni, B., & Azerikatoa, D. A. (2024). Systematic review on prediction of haulage truck fuel consumption in open-pit mines. International Journal of Mining, Reclamation and Environment, 38(10), 833–850. https://doi.org/10.1080/17480930.2024.2357509
- Tapia, E., Salazar Araya, A., Saavedra, N., Nehring, M., & Mora, J. (2020). An analysis of full truck versus full bucket strategies in open pit mining loading and hauling operations. International Journal of Mining, Reclamation and Environment, 35(1), 1–11. https://doi.org/10.1080/17480930.2020.1712639
- Tokac, B., Zhang, Q., & Sari, Y. A. (2025). Environmental and economic comparison of diesel and electric trucks in open-pit mining operations. Journal of Cleaner Production, 507, 145540. https://doi.org/10.1016/j.jclepro.2025.145540
- Vera-Burau, A., Álvarez-Ramírez, D., Sanmiquel, L., & Bascompta, M. (2023). A comparison of the fuel consumption and truck models in different production scenarios. Applied Sciences, 13(9), 5769. https://doi.org/10.3390/app13095769
- Wang, Q., Zhang, R., Lv, S., & Wang, Y. (2021). Open-pit mine truck fuel consumption pattern and application based on multi-dimensional features and XGBoost. Sustainable Energy Technologies and Assessments, 43, 100977. https://doi.org/10.1016/j.seta.2020.100977
- Wang, X., Dai, Q., Bian, Y., Xie, G., Xu, B., & Yang, Z. (2023). Real-time truck dispatching in open-pit mines. International Journal of Mining, Reclamation and Environment, 37(7), 504–523. https://doi.org/10.1080/17480930.2023.2201120