Conference Proceedings - World Mining Congress 2026

503 REFERENCES Afrapoli, A.M., Tabesh, M., & Askari-Nasab H. (2018). A Transportation Problem-Based Stochastic Integer Programming Model to Dispatch Surface Mining Trucks Under Uncertainty. Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection - MPES 2018. p. 255264. Ahumada, G.I., Riveros, E., & Herzog, O. (2020). An agent-based system for truck dispatching in open-pit mines. ICAART (1): 73-81. 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): 5976. Bakhtavar, E., & Mahmoudi, H. (2018). Development of a scenario-based robust model for the optimal truckshovel allocation in open-pit mining. Computers & Operations Research 115. Both, C., & Dimitrakopoulos, R. (2020). Joint stochastic short-term production scheduling and fleet management optimization for mining complexes. Optimization and Engineering, 21(4), 1717-1743. de Carvalho, J. P., & Dimitrakopoulos, R. (2021). Integrating production planning with truck-dispatching decisions through reinforcement learning while managing uncertainty. Minerals, 11(6), 587. de Carvalho, J. P., & Dimitrakopoulos, R. (2023). Integrating short-term stochastic production planning updating with mining fleet management in industrial mining complexes: an actor-critic reinforcement learning approach. Applied Intelligence, 53(20), 23179-23202. de Carvalho, J. P., & Dimitrakopoulos, R. (2024). Simultaneous shovel allocation and grade control decisions for short-term production planning of industrial mining complexes–an actor-critic approach. International Journal of Mining, Reclamation and Environment, 38(1), 53-78. Hazrathosseini, A., & Afrapoli, A. M. (2023). Intelligent fleet management systems in surface mining: Status, threats, and opportunities. Mining, Metallurgy & Exploration, 40(6), 2087-2106. https://doi.org/10.1007/s42461-023-00875-2 Kumar, A., & Dimitrakopoulos, R. (2021). Production scheduling in industrial mining complexes with incoming new information using tree search and deep reinforcement learning. Applied Soft Computing, 110, 107644. Levinson, Z., & Dimitrakopoulos, R. (2023). Connecting planning horizons in mining complexes with reinforcement learning and stochastic programming. Resources Policy, 86, 104136. Li, Z. (1990). A methodology for the optimum control of shovel and truck operations in open-pit mining. Mining science and technology 10(3): 337-340. Matamoros, M. E. V., & 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. Mirzaei-Nasirabad, H., Mohtasham, M., Askari-Nasab, H., & Alizadeh, B. (2023). An optimization model for the real-time truck dispatching problem in open-pit mining operations. Optimization and Engineering, 24(4), 2449-2473. Moradi Afrapoli, A., & Askari-Nasab, H. (2019). Mining fleet management systems: a review of models and algorithms. International Journal of Mining, Reclamation and Environment, 33(1), 42-60.

RkJQdWJsaXNoZXIy MTM0Mzk2