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Development of an Integrated Model for Open-Pit-Mine Discontinuous Haulage System Optimization

Author

Listed:
  • Miodrag Čelebić

    (Faculty of Mining, University of Banja Luka, 79000 Prijedor, Republic of Srpska, Bosnia and Herzegovina)

  • Dragoljub Bajić

    (Faculty of Mining, University of Banja Luka, 79000 Prijedor, Republic of Srpska, Bosnia and Herzegovina
    Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Sanja Bajić

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Mirjana Banković

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Duško Torbica

    (Faculty of Mining, University of Banja Luka, 79000 Prijedor, Republic of Srpska, Bosnia and Herzegovina)

  • Aleksej Milošević

    (Faculty of Mining, University of Banja Luka, 79000 Prijedor, Republic of Srpska, Bosnia and Herzegovina)

  • Dejan Stevanović

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

Abstract

The selection of the optimal equipment for discontinuous haulage systems is one of the most important decisions that need to be made when an open-pit mine is designed. There are a number of influencing factors, including natural (geological and environmental), technical, economic, and social. Some of them can be expressed numerically, in certain units of measure, while others are descriptive and can be stated by linguistic variables depending on the circumstances of the project. These factors are characterized by a high level of uncertainty, associated with both exploration and mining operations. The experience, knowledge, and expert judgment of engineers and specialists are of key importance for the management of mining processes, consistent with the issues stemming from the dynamic expansion of open-pit mines in space over time. This paper proposes an integrated model that translates all the criteria that affect the selection of the optimal solution into linguistic variables. By employing the multiple-criteria decision-making method and combining it with fuzzy logic, we developed an algorithm that addresses all the above-mentioned uncertainties inherent in various mining processes where the experience of experts forms the basis. The fuzzy analytic hierarchy process is used in order to deal with trending decision problems, such as mining equipment and management system selection. The entire algorithm was applied to a real case study—the Ugljevik East 1 open-pit mine.

Suggested Citation

  • Miodrag Čelebić & Dragoljub Bajić & Sanja Bajić & Mirjana Banković & Duško Torbica & Aleksej Milošević & Dejan Stevanović, 2024. "Development of an Integrated Model for Open-Pit-Mine Discontinuous Haulage System Optimization," Sustainability, MDPI, vol. 16(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3156-:d:1373057
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    References listed on IDEAS

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    1. Katarina Urošević & Zoran Gligorić & Igor Miljanović & Čedomir Beljić & Miloš Gligorić, 2021. "Novel Methods in Multiple Criteria Decision-Making Process (MCRAT and RAPS)—Application in the Mining Industry," Mathematics, MDPI, vol. 9(16), pages 1-21, August.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    3. Tolga, Ethem & Demircan, Murat Levent & Kahraman, Cengiz, 2005. "Operating system selection using fuzzy replacement analysis and analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 97(1), pages 89-117, July.
    4. Abbas Aghajani Bazzazi & Morteza Osanloo & Behrooz Karimi, 2011. "A New Fuzzy Multi Criteria Decision Making Model For Open Pit Mines Equipment Selection," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(03), pages 279-300.
    5. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
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