[1] Zhang, L., Xia, X. (2015). An integer programming approach for truck-shovel dispatching problem in open-pit mines. Energy Procedia. 75: 1779-1784.
[2] Sahoo, L.K., Santanu, B. and Rangan, B. (2014). Benchmarking energy consumption for dump trucks in mines. Applied energy 113: 1382-1396.
[3] Bajany, D.M., Zhang, L. and Xia, X. (2019). An Optimization Approach for Shovel Allocation to Minimize Fuel Consumption in Open-pit Mines: Case of Heterogeneous Fleet of Shovels. IFAC-Papers OnLine. 52(14): 207-212.
[4] Merschmann, L.H.C. (2002). Development of an optimization and simulation system for the analysis of production scenarios in open-pit mines. Dissertaç ao de mestrado, Programa de Pós-graduaçao em Engenharia de Produçao/COPPE, UFRJ, Rio de Janeiro, Brazil.
[5] Coelho, I.M., Ribas, S., Souza, M.J.F., Coelho, V.N. and Ochi, L.S. (2009). A hybrid heuristic algorithm based on grasp, vnd, ils and path relinking for the open-pitmining operational planning problem. Proceedings of the XXX Iberian-Latin-American Congress on Computational Methods in Engineering–CILAMCE, Búzios.
[6] Hodkiewicz, M., Richardson, S. and Durham, R. (2010). Challenges and Opportunities for Simulation Modelling Integrating Mine Haulage and Truck Shop Operations, Mining Technology Conference.
[7] Coelho, V.N., Souza, M.J.F., Coelho, I.M., Guimaraes, F.G., Lust, T. and Cruz, R.C. (2012). Multi-objective approaches for the open-pit mining operational planning problem. Electronic Notes in Discrete Mathematics. 39: 233-240.
[8] Lamghari, A. and Dimitrakopoulos, R. (2012). A diversified Tabu search approach for the open-pit mine production scheduling problem with metal uncertainty. European Journal of Operational Research. 222(3): 642-652.
[9] Mena, R., Zio, E., Kristjanpoller, F. and Arata, A. (2013). Availability-based simulation and optimization modeling framework for open-pit mine truck allocation under dynamic constraints. International Journal of mining science and Technology. 23(1): 113-119.
[10] Chang, Y., Huizhi, R. and Shijie, W. (2015). Modelling and optimizing an open-pit truck scheduling problem. Discrete Dynamics in Nature and Society. 8p.
[11] Matamoros, M.E.V. and Dimitrakopoulos, R. (2016). Stochastic short-term mine production schedule accounting for fleet allocation, operational considerations and blending restrictions. European Journal of Operational Research. 255(3): 911-921.
[12] Chaowasakoo, P., Seppälä, H., Koivo, H. and Zhou, Q. (2017). Digitalization of mine operations: Scenarios to benefit in real-time truck dispatching. International Journal of Mining Science and Technology. 27(2): 229-236.
[13] Patterson, S.R., Kozan, E. and Hyland, P. (2017). Energy efficient scheduling of open-pit coal mine trucks. European Journal of Operational Research. 262(2): 759-770.
[14] Nakousi, C., Pascual, R., Anani, A., Kristjanpoller, F. and Lillo, P. (2018). An asset-management oriented methodology for mine haul-fleet usage scheduling. Reliability Engineering & System Safety. 180: 336-344.
[15] Xu, X.c., Gu, X.w., Wang, Q., Gao, X.w., Liu, J., Wang, Z.k. and Wang, X.h. (2018). Production scheduling optimization considering ecological costs for open pit metal mines. Journal of cleaner production. 180: 210-221.
[16] Afrapoli, A.M., Tabesh, M. and Askari-Nasab, H. (2019). A multiple objective transportation problem approach to dynamic truck dispatching in surface mines. European Journal of Operational Research. 276(1): 331-342.
[17] Upadhyay, S.P. and Askari-Nasab, H. (2019). Dynamic shovel allocation approach to short-term production planning in open-pit mines. International Journal of Mining, Reclamation and Environment. 33(1): 1-20.
[18] Feng, Y. and Dong, Z. (2020). Optimal energy management with balanced fuel economy and battery life for large hybrid electric mining truck. Journal of Power Sources. 454: 12p.
[19] Noriega, R. and Pourrahimian, Y. (2022). A systematic review of artificial intelligence and data-driven approaches in strategic open-pit mine planning. Resources Policy. 77: 102727
[20] Chung, J., Asad, M. W. A. and Topal, E. (2022). Timing of transition from open-pit to underground mining: A simultaneous optimisation model for open-pit and underground mine production schedules. Resources Policy. 77: 102632
[21] Huo, D., Sari, Y. A., Kealey, R. and Zhang, Q. (2023). Reinforcement Learning-Based Fleet Dispatching for Greenhouse Gas Emission Reduction in Open-Pit Mining Operations. Resources, Conservation and Recycling. 188: 106664.
[22] Tabesh, M., Afrapoli, A. M. and Askari-Nasab, H. (2023). A two-stage simultaneous optimization of NPV and throughput in production planning of open pit mines. Resources Policy. 80: 103167.
[23] Luken, R.A. and Navratil, J. (2004). A programmatic review of UNIDO/UNEP national cleaner production centres. Journal of Cleaner Production. 12(3): 195-205.
[24] Severo, E.A., de Guimarães, J.C.F., Dorion, E.C.H. and Nodari, C.H. (2015). Cleaner production, environmental sustainability and organizational performance: an empirical study in the Brazilian Metal-Mechanic industry. Journal of Cleaner Production. 96: 118-125.
[25] Kaarsberg, T.M., HuangFu, E.P. and Roop, J.M. (2007). Extreme energy ef fi ciency in the US: Industrial, economic and environmental impacts, 2007 ACEEE Summer Study on Energy Efficiency in Industry. 4-24.
[26] Lajunen, A. (2015). Energy efficiency of conventional, hybrid electric, and fuel cell hybrid powertrains in heavy machinery. SAE technical paper.
[27] Peralta, S., Sasmito, A.P. and Kumral, M. (2016). Reliability effect on energy consumption and greenhouse gas emissions of mining hauling fleet towards sustainable mining. Journal of Sustainable Mining. 15(3): 85-94.
[28] Bharathan, B., Sasmito, A.P. and Ghoreishi-Madiseh, S.A. (2017). Analysis of energy consumption and carbon footprint from underground haulage with different power sources in typical Canadian mines. Journal of Cleaner Production. 166: 21-31.
[29] Bouchard, J., Desbiens, A. and Poulin, É. (2017). Reducing the energy footprint of grinding circuits: the process control paradigm. IFAC-PapersOnLine. 50(1): 1163-1168.
[30] Song, X., Pettersen, J.B., Pedersen, K.B. and Røberg, S. (2017). Comparative life cycle assessment of tailings management and energy scenarios for a copper ore mine: A case study in Northern Norway. Journal of Cleaner Production. 164: 892-904.
[31] Martínez, N.M., Basallote, M.D., Meyer, A., Cánovas, C.R., Macías, F. and Schneider, P. (2019). Life cycle assessment of a passive remediation system for acid mine drainage: towards more sustainable mining activity. Journal of Cleaner Production. 211: 1100-1111.
[32] Katta, A.K., Davis, M. and Kumar, A. (2020). Assessment of greenhouse gas mitigation options for the iron, gold, and potash mining sectors. Journal of Cleaner Production. 245(118718): 58.
[33] Sherwood, J., Bickhart Jr, R., Murawski, E., Dhanani, Z., Lytle, B., Carbajales-Dale, P. and Carbajales-Dale, M. (2020). Rolling coal: The greenhouse gas emissions of coal rail transport for electricity generation. Journal of Cleaner Production. 259.
[34] Kinnunen, P., Obenaus-Emler, R., Raatikainen, J., Guignot, S., Guimerà, J., Ciroth, A. and Heiskanen, K. (2020). Review of Closed Water Loops with Ore Sorting and Tailings Valorization for a more Sustainable Mining Industry. Journal of Cleaner Production.
[35] Purhamadani, E., Bagherpour, R. and Tudeshki, H. (2021). Energy consumption in open-pit mining operations relying on reduced energy consumption for haulage using in-pit crusher systems. Journal of Cleaner Production. 291.
[36] Bhuiyan, M. A. H., Bodrud-Doza, M., Rakib, M. A., Saha, B. B. and Islam, S. D. U. (2021). Appraisal of pollution scenario, sources and public health risk of harmful metals in mine water of Barapukuria coal mine industry in Bangladesh. Environmental Science and Pollution Research. 28: 22105-22122.
[37] Sui, C., Fatichi, S., Burlando, P., Weber, E. and Battista, G. (2022). Modeling distributed metal pollution transport in a mine impacted catchment: Short and long-term effects. Science of The Total Environment. 812: 151473.
[38] Feng, Y., Liu, Q., Li, Y., Yang, J. and Dong, Z. (2022). Energy efficiency and CO2 emission comparison of alternative powertrain solutions for mining haul truck using integrated design and control optimization. Journal of Cleaner Production. 370: 133568.
[39] Yu, H., and Zahidi, I. (2022). Environmental hazards posed by mine dust, and monitoring method of mine dust pollution using remote sensing technologies: An overview. Science of The Total Environment, 161135.
[40] Wang Y. and Jiang Z. (2021). Research on mine cleaner production based on high wettability spray control dust pollution. Case Studies in Thermal Engineering. 25: 100896.
[41] Kecojevic, V. and Komljenovic, D. (2010). Haul truck fuel consumption and CO2 emission under various engine load conditions. Mining engineering. 62(12): 44-48.
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