IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12338-d927832.html
   My bibliography  Save this article

Determination of Truck–Shovel Configuration of Open-Pit Mine: A Simulation Method Based on Mathematical Model

Author

Listed:
  • Yuhao Zhang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Ziyu Zhao

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Lin Bi

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China
    Changsha Digital Mine Co., Ltd., Changsha 410221, China)

  • Liming Wang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Qing Gu

    (School of Mechanic Engineering, University of Science and Technology Beijing, Beijing 100083, China)

Abstract

The truck–shovel system is the most common material transportation system in open-pit mines. The configuration of trucks and shovels directly affects the efficiency and cost of transportation in open-pit mines. Under the condition that the types and quantities of trucks and shovels are known, in order to obtain the optimal configuration scheme in the open-pit mine transportation system this paper presents a method to determine the optimal scheme by conducting experiments based on the simulation truck–shovel system model in Flexsim software. We test candidate configuration schemes that are solved by the mathematical model with daily minimum production and expected profit constraints in the simulation model, and finally obtain the optimal truck–shovel configuration scheme that meets the ore output requirements of each loading point. Through simulation experiments, the daily production of the optimal truck–shovel configuration scheme is 3.75% higher than that of the original mine scheme and the profit is increased by 3.85%. The results show that the open-pit truck–shovel system constructed by Flexsim has great research potential and value for the optimization of truck–shovel configuration schemes.

Suggested Citation

  • Yuhao Zhang & Ziyu Zhao & Lin Bi & Liming Wang & Qing Gu, 2022. "Determination of Truck–Shovel Configuration of Open-Pit Mine: A Simulation Method Based on Mathematical Model," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12338-:d:927832
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12338/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/19/12338/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chaowasakoo, Patarawan & Seppälä, Heikki & Koivo, Heikki & Zhou, Quan, 2017. "Improving fleet management in mines: The benefit of heterogeneous match factor," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1052-1065.
    2. Ta, Chung H. & Ingolfsson, Armann & Doucette, John, 2013. "A linear model for surface mining haul truck allocation incorporating shovel idle probabilities," European Journal of Operational Research, Elsevier, vol. 231(3), pages 770-778.
    3. Xiaoqiang Zhang & Yuanyuan Pan, 2022. "Preparation, Properties and Application of Gel Materials for Coal Gangue Control," Energies, MDPI, vol. 15(2), pages 1-15, January.
    4. Christina N. Burt & Lou Caccetta, 2014. "Equipment Selection for Surface Mining: A Review," Interfaces, INFORMS, vol. 44(2), pages 143-162, April.
    5. Magdalena Rozmus & Jarosław Tokarczyk & Dariusz Michalak & Marek Dudek & Kamil Szewerda & Marek Rotkegel & Aleš Lamot & Janez Rošer, 2021. "Application of 3D Scanning, Computer Simulations and Virtual Reality in the Redesigning Process of Selected Areas of Underground Transportation Routes in Coal Mining Industry," Energies, MDPI, vol. 14(9), pages 1-21, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moradi Afrapoli, Ali & Tabesh, Mohammad & Askari-Nasab, Hooman, 2019. "A multiple objective transportation problem approach to dynamic truck dispatching in surface mines," European Journal of Operational Research, Elsevier, vol. 276(1), pages 331-342.
    2. Patterson, S.R. & Kozan, E. & Hyland, P., 2017. "Energy efficient scheduling of open-pit coal mine trucks," European Journal of Operational Research, Elsevier, vol. 262(2), pages 759-770.
    3. Chaowasakoo, Patarawan & Seppälä, Heikki & Koivo, Heikki & Zhou, Quan, 2017. "Improving fleet management in mines: The benefit of heterogeneous match factor," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1052-1065.
    4. S.R. Patterson & E. Kozan & P. Hyland, 2016. "An integrated model of an open-pit coal mine: improving energy efficiency decisions," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4213-4227, July.
    5. Nakousi, C. & Pascual, R. & Anani, A. & Kristjanpoller, F. & Lillo, P., 2018. "An asset-management oriented methodology for mine haul-fleet usage scheduling," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 336-344.
    6. Pérez, Juan & Maldonado, Sebastián & González-Ramírez, Rosa, 2018. "Decision support for fleet allocation and contract renegotiation in contracted open-pit mine blasting operations," International Journal of Production Economics, Elsevier, vol. 204(C), pages 59-69.
    7. Aleksandr Rakhmangulov & Konstantin Burmistrov & Nikita Osintsev, 2024. "Multi-Criteria System’s Design Methodology for Selecting Open Pits Dump Trucks," Sustainability, MDPI, vol. 16(2), pages 1-34, January.
    8. Michał Patyk & Przemysław Bodziony & Zbigniew Krysa, 2021. "A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of Equipment Selection for Surface Mining," Energies, MDPI, vol. 14(11), pages 1-14, May.
    9. Zhicheng Fang & Wanjiang Wang & Yanhui Chen & Hui Fan & Ruoqi Dong & Dongbing Pang & Junkang Song, 2023. "Numerical Analysis of Natural Ventilation on One Side of a Room with Two Different Opening Configurations," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    10. George Kritikakis & Michael Galetakis & Antonios Vafidis & George Apostolopoulos & Theodore Michalakopoulos & Miltiades Triantafyllou & Christos Roumpos & Francis Pavloudakis & Basileios Deligiorgis &, 2023. "Toward the Optimization of Mining Operations Using an Automatic Unmineable Inclusions Detection System for Bucket Wheel Excavator Collision Prevention: A Synthetic Study," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
    11. Boleslav Taraba & Petr Gřunděl & Gabriela Zelenková, 2023. "The Limiting Content of Combustibles to Prevent Minestone from the Spreading of Fire," Energies, MDPI, vol. 16(13), pages 1-12, June.
    12. Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).
    13. Hazrathosseini, Arman & Moradi Afrapoli, Ali, 2023. "The advent of digital twins in surface mining: Its time has finally arrived," Resources Policy, Elsevier, vol. 80(C).
    14. Michał Patyk & Przemysław Bodziony, 2022. "Application of the Analytical Hierarchy Process to Select the Most Appropriate Mining Equipment for the Exploitation of Secondary Deposits," Energies, MDPI, vol. 15(16), pages 1-16, August.
    15. Sergey Zhironkin & Elena Dotsenko, 2023. "Review of Transition from Mining 4.0 to 5.0 in Fossil Energy Sources Production," Energies, MDPI, vol. 16(15), pages 1-35, August.
    16. Olga Zhironkina & Sergey Zhironkin, 2023. "Technological and Intellectual Transition to Mining 4.0: A Review," Energies, MDPI, vol. 16(3), pages 1-37, February.
    17. Jakub Janus & Piotr Ostrogórski, 2022. "Underground Mine Tunnel Modelling Using Laser Scan Data in Relation to Manual Geometry Measurements," Energies, MDPI, vol. 15(7), pages 1-15, March.
    18. Chao Han & Shibin Nie & Zegong Liu & Jinian Yang & Hong Zhang & Haoran Zhang & Jiayi Li & Zihan Wang, 2022. "A Novel Highly Stable Biomass Gel Foam Based on Double Cross-Linked Structure for Inhibiting Coal Spontaneous Combustion," Energies, MDPI, vol. 15(14), pages 1-12, July.
    19. Xi Chen & Hao Zhang & Shaocheng Ge & Cunbao Deng & Chaonan Fan & Guoliang Ma & Weichao Li, 2022. "Research on the Dust Diffusion and Pollution Behaviour of Dynamic Tunneling in Header Excavators Based on Dynamic Mesh Technology and Field Measurement," Energies, MDPI, vol. 15(23), pages 1-28, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12338-:d:927832. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.