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Optimization of Truck–Loader Matching Based on a Simulation Method for Underground Mines. (2022). Hu, Nailian ; Chen, Lian Yun ; Hou, Jie ; Wang, Hao ; Li, Guoqing.
In: Sustainability.
RePEc:gam:jsusta:v:15:y:2022:i:1:p:216-:d:1012787.

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  1. Åstrand, M.; Johansson, M.; Zanarini, A. Fleet Scheduling in Underground Mines Using Constraint Programming. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research; Springer: Berlin/Heidelberg, Germany, 2018; pp. 605–613.
    Paper not yet in RePEc: Add citation now
  2. Afrapoli, A.M.; Askari-Nasab, H. Mining fleet management systems: A review of models and algorithms. Int. J. Min. Reclam. Environ. 2017, 33, 42–60. [CrossRef]
    Paper not yet in RePEc: Add citation now
  3. Afrapoli, A.M.; Tabesh, M.; Askari-Nasab, H. A multiple objective transportation problem approach to dynamic truck dispatching in surface mines. Eur. J. Oper. Res. 2019, 276, 331–342. [CrossRef]

  4. Brickey, A.; Chowdu, A.; Newman, A.; Goycoolea, M.; Godard, R. Barrick’s Turquoise Ridge Gold Mine Optimizes Underground Production Scheduling Operations. INFORMS J. Appl. Anal. 2021, 51, 106–118. [CrossRef]
    Paper not yet in RePEc: Add citation now
  5. Elijah, K.; Joseph, G.; Samuel, M.; Mauti, D. Optimisation of shovel-truck haulage system in an open pit using queuing approach. Arab. J. Geosci. 2021, 14, 973. [CrossRef]
    Paper not yet in RePEc: Add citation now
  6. Ercelebi, S.G.; Bascetin, A. Optimization of shovel-truck system for surface mining. J. S. Afr. Inst. Min. Metall. 2009, 109, 433–439.
    Paper not yet in RePEc: Add citation now
  7. Fioroni, M.M.; Dos Santos, L.C.A.; Franzese, L.A.; Seixas, J.C.; Penna, B.S.; De Alkmim, G.M. Logistic evaluation of an underground mine using simulation. In Proceedings of the Winter Simulation Conference 2014, Savannah, GA, USA, 7–10 December 2014.
    Paper not yet in RePEc: Add citation now
  8. Forsman, B.; Rönnkvist, E.; Vagenas, N. Truck dispatch computer simulation in Aitik open pit mine. Int. J. Surf. Min. Reclam. Environ. 2008, 7, 117–120. [CrossRef]
    Paper not yet in RePEc: Add citation now
  9. Greberg, J.; Salama, A.; Gustafson, A.; Skawina, B. Alternative Process Flow for Underground Mining Operations: Analysis of Conceptual Transport Methods Using Discrete Event Simulation. Minerals 2016, 6, 65. [CrossRef]
    Paper not yet in RePEc: Add citation now
  10. Hai, D.V.; Masniyom, M. Application of queuing theory in analysing shovel-truck haulage system in vietnam surface mine. Int. J. Adv. Sci. Eng. Technol. 2016, 4, 42–45.
    Paper not yet in RePEc: Add citation now
  11. Hong, S.-Y.; Bal, A.; Badurdeen, F.; Agioutantis, Z.; Hicks, S. Evaluation of bunker size for continuous/discrete flow systems by applying discrete event simulation: A case study in mining. Simul. Model. Pract. Theory 2020, 105, 102155. [CrossRef] Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
    Paper not yet in RePEc: Add citation now
  12. Hou, J.; Li, G.; Wang, H.; Hu, N. Genetic algorithm to simultaneously optimise stope sequencing and equipment dispatching in underground short-term mine planning under time uncertainty. Int. J. Min. Reclam. Environ. 2019, 34, 307–325. [CrossRef]
    Paper not yet in RePEc: Add citation now
  13. Jung, D.; Baek, J.; Choi, Y. Stochastic Predictions of Ore Production in an Underground Limestone Mine Using Different Probability Density Functions: A Comparative Study Using Big Data from ICT System. Appl. Sci. 2021, 11, 4301. [CrossRef] Sustainability 2023, 15, 216 14 of 14
    Paper not yet in RePEc: Add citation now
  14. Krzyzanowska, J. The impact of mixed fleet hauling on mining operations at Venetia mine. J. S. Afr. Inst. Min. Metall. 2007, 107, 215–224.
    Paper not yet in RePEc: Add citation now
  15. Moniri-Morad, A.; Pourgol-Mohammad, M.; Aghababaei, H.; Sattarvand, J. A Methodology for Truck Allocation Problems Considering Dynamic Circumstances in Open Pit Mines, Case Study of the Sungun Copper Mine. Rud. Geološko-Naft. Zb. 2019, 34, 57–65. [CrossRef]
    Paper not yet in RePEc: Add citation now
  16. Nehring, M.; Topal, E.; Knights, P. Dynamic short term production scheduling and machine allocation in underground mining using mathematical programming. Min. Technol. 2013, 119, 212–220. [CrossRef]
    Paper not yet in RePEc: Add citation now
  17. Park, S.; Choi, Y.; Park, H.-S. Optimization of truck-loader haulage systems in an underground mine using simulation methods. Geosyst. Eng. 2016, 19, 222–231. [CrossRef]
    Paper not yet in RePEc: Add citation now
  18. Runciman, N.; Vagenas, N.; Baiden, G. Evaluation of Underground Development Mining Systems Using Discrete-Event Simulation. Simulation 2016, 72, 4–11. [CrossRef]
    Paper not yet in RePEc: Add citation now
  19. Saayman, P.F.R.; Craig, I.K.; Camisani-Calzolari, F.R. Optimization of an autonomous vehicle dispatch system in an underground mine. J. S. Afr. Inst. Min. Metall. 2006, 106, 77–86.
    Paper not yet in RePEc: Add citation now
  20. Salama, A.; Greberg, J.; Schunnesson, H. The use of discrete event simulation for underground haulage mining equipment selection. Int. J. Min. Miner. Eng. 2014, 5, 256. [CrossRef]
    Paper not yet in RePEc: Add citation now
  21. Schulze, M.; Rieck, J.; Seifi, C.; Zimmermann, J. Machine scheduling in underground mining: An application in the potash industry. OR Spektrum 2015, 38, 365–403. [CrossRef]
    Paper not yet in RePEc: Add citation now
  22. Song, Z.; Schunnesson, H.; Rinne, M.; Sturgul, J. Intelligent Scheduling for Underground Mobile Mining Equipment. PLoS ONE 2015, 10, e0131003. [CrossRef]

  23. Tabesh, M.; Upadhyay, S.P.; Askari-Nasab, H. Discrete Event Simulation of Truck-Shovel Operations in Open Pit Mines1. MOL Annu. Rep. Seven 2016, 7, 77–93.
    Paper not yet in RePEc: Add citation now
  24. Tan, Y.; Takakuwa, S. A practical simulation approach for an effective truck dispatching system of open pit mines using VBA. In Proceedings of the 2016 Winter Simulation Conference (WSC), Washington, DC, USA, 11–14 December 2016.
    Paper not yet in RePEc: Add citation now
  25. Torkamani, E.; Nasab, H.A. A linkage of truck-and-shovel operations to short-term mine plans using discrete-event simulation. Int. J. Min. Miner. Eng. 2015, 6, 97. [CrossRef]
    Paper not yet in RePEc: Add citation now
  26. Yeganejou, M.; Badiozamani, M.; Moradi-Afrapoli, A.; Askari-Nasab, H. Integration of simulation and dispatch modelling to predict fleet productivity: An open-pit mining case. Min. Technol. 2022, 131, 67–79.
    Paper not yet in RePEc: Add citation now
  27. Yuriy, G.; Vayenas, N. Discrete-event simulation of mine equipment systems combined with a reliability assessment model based on genetic algorithms. Int. J. Min. Reclam. Environ. 2008, 22, 70–83. [CrossRef]
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Short-term underground mine planning with uncertain activity durations using constraint programming. (2024). Pesant, Gilles ; Aalian, Younes ; Gamache, Michel.
    In: Journal of Scheduling.
    RePEc:spr:jsched:v:27:y:2024:i:5:d:10.1007_s10951-024-00808-x.

    Full description at Econpapers || Download paper

  2. Geo-environmental factors’ influence on mining operation: an indirect effect of managerial factors. (2024). Panigrahi, Rashmi Ranjan ; Mishra, Padma Charan ; Shrivastava, Avinash K.
    In: Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development.
    RePEc:spr:endesu:v:26:y:2024:i:6:d:10.1007_s10668-023-03211-2.

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  3. Improved Multi-Objective Beluga Whale Optimization Algorithm for Truck Scheduling in Open-Pit Mines. (2024). Yi, Zebang ; Liu, Xiang ; He, Qiuzhi ; Zhang, Pengchao.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:16:p:6939-:d:1455432.

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  4. Container port truck dispatching optimization using Real2Sim based deep reinforcement learning. (2024). Cui, Tianxiang ; Bai, Ruibin ; Qu, Rong ; Jin, Jiahuan.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:315:y:2024:i:1:p:161-175.

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  5. A Dynamic Scheduling Model for Underground Metal Mines under Equipment Failure Conditions. (2023). Tu, Siyu ; Feng, Shuzhao ; Huang, Shuang ; Jia, Mingtao ; Wang, Liguan.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:9:p:7306-:d:1134662.

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  6. Operations Research in Underground Mine Planning: A Review. (2022). Nesbitt, Peter ; Brickey, Andrea ; Newman, Alexandra M ; Chowdu, Akshay.
    In: Interfaces.
    RePEc:inm:orinte:v:52:y:2022:i:2:p:109-132.

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  7. Optimization of Truck–Loader Matching Based on a Simulation Method for Underground Mines. (2022). Hu, Nailian ; Chen, Lian Yun ; Hou, Jie ; Wang, Hao ; Li, Guoqing.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2022:i:1:p:216-:d:1012787.

    Full description at Econpapers || Download paper

  8. A Multi-Equipment Task Assignment Model for the Horizontal Stripe Pre-Cut Mining Method. (2022). Tu, Siyu ; Feng, Shuzhao ; Huang, Shuang ; Jia, Mingtao ; Wang, Liguan.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:24:p:16379-:d:996508.

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  9. A systematic review of artificial intelligence and data-driven approaches in strategic open-pit mine planning. (2022). Pourrahimian, Yashar ; Noriega, Roberto.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001751.

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  10. A review of machine learning applications for underground mine planning and scheduling. (2022). Asad, Waqar ; Chimunhu, Prosper ; Topal, Erkan ; Ajak, Ajak Duany.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001416.

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  11. Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions. (2020). Zhuang, Zheng-Yun ; Kouaissah, Noureddine ; Li, Der-Chiang ; Hocine, Amin.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:285:y:2020:i:2:p:642-654.

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