IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v86y2023ipbs0301420723008061.html
   My bibliography  Save this article

Fuzzy cognitive-based goal programming for waste rock management with in-pit dumping priority: Towards sustainable mining

Author

Listed:
  • Bakhtavar, Ezzeddin
  • Saberi, Sahra
  • Hu, Guangji
  • Sadiq, Rehan
  • Hewage, Kasun

Abstract

Internal (in-pit) dumping is a sustainable waste rock management approach that can mitigate the potential adverse environmental, social, and economic impacts of conventional off-site dumping. In this study, a fuzzy-weighted multi-objective programming model was developed to determine the best feasible waste scheduling strategy. Minimizing waste rock hauling cost, social complaints, environmental penalties, and operational issues are the main objectives of the model. A fuzzy cognitive map was incorporated into the model to analyze the objectives based on their causal relationships. Various weighting scenarios were used to assess the influence of prioritization of objectives on the waste scheduling results. The model was applied to a surface mine containing several lens-shaped limestone deposits. It was found that entirely dumping waste rock in the internal dumps (D1-D3) could lead to the lowest social, environmental, and operational issues under the causal weights of 0.272, 0.267, 0.230, and 0.230 for the social, environmental, economic, and operational objectives, respectively. However, the distances between the extraction sites and internal dumps are large compared to external dumps (K1 and K2), and dumping in the external dumps resulted in significantly more social complaints and environmental effects. A sensitivity analysis on the capacity of the preferred internal dump (D1) indicated that if its capacity is inadequate to accommodate all wastes, the less preferable internal dumps would be used, followed by external dumps.

Suggested Citation

  • Bakhtavar, Ezzeddin & Saberi, Sahra & Hu, Guangji & Sadiq, Rehan & Hewage, Kasun, 2023. "Fuzzy cognitive-based goal programming for waste rock management with in-pit dumping priority: Towards sustainable mining," Resources Policy, Elsevier, vol. 86(PB).
    • Handle: RePEc:eee:jrpoli:v:86:y:2023:i:pb:s0301420723008061
    DOI: 10.1016/j.resourpol.2023.104095
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723008061
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2023.104095?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Esmailzadeh, Saghar & Bakhtavar, Ezzeddin & Mokhtarian-Asl, Mojtaba & Sadiq, Rehan & Hewage, Kasun, 2023. "Mathematical modelling of waste rock management through incorporating open-pit waste rocks in underground stope filling: An environmental approach," Resources Policy, Elsevier, vol. 85(PB).
    2. Samadi, Mahdi & Bakhtavar, Ezzeddin & Hu, Guangji & Hewage, Kasun & Sadiq, Rehan, 2023. "Assessment of mine post-closure strategies by integrating evidential reasoning and fuzzy cognitive maps: Toward sustainable mining policy," Resources Policy, Elsevier, vol. 83(C).
    3. Adrien Rimélé, M. & Dimitrakopoulos, Roussos & Gamache, Michel, 2018. "A stochastic optimization method with in-pit waste and tailings disposal for open pit life-of-mine production planning," Resources Policy, Elsevier, vol. 57(C), pages 112-121.
    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. Yıldız, Taşkın Deniz & Güner, Mehmet Oğuz & Kural, Orhan, 2024. "Effects of EU-Compliant mining waste regulation on Turkish mining sector: A review of characterization, classification, storage, management, recovery of mineral wastes," Resources Policy, Elsevier, vol. 90(C).
    2. Esmailzadeh, Saghar & Bakhtavar, Ezzeddin & Mokhtarian-Asl, Mojtaba & Sadiq, Rehan & Hewage, Kasun, 2023. "Mathematical modelling of waste rock management through incorporating open-pit waste rocks in underground stope filling: An environmental approach," Resources Policy, Elsevier, vol. 85(PB).
    3. Jonek-Kowalska, Izabela, 2024. "Demonstrating the need for a just transition: Socioeconomic diagnosis of polish cities living on hard coal mining," Resources Policy, Elsevier, vol. 89(C).
    4. Das, Ranajit & Topal, Erkan & Mardaneh, Elham, 2023. "A review of open pit mine and waste dump schedule planning," Resources Policy, Elsevier, vol. 85(PA).
    5. Noriega, Roberto & Pourrahimian, Yashar & Ben-Awuah, Eugene, 2020. "A two-step mathematical programming framework for undercut horizon optimization in block caving mines," Resources Policy, Elsevier, vol. 65(C).
    6. Bryan Salgado-Almeida & Daniel A. Falquez-Torres & Paola L. Romero-Crespo & Priscila E. Valverde-Armas & Fredy Guzmán-Martínez & Samantha Jiménez-Oyola, 2022. "Risk Assessment of Mining Environmental Liabilities for Their Categorization and Prioritization in Gold-Mining Areas of Ecuador," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    7. Del Castillo, M. Fernanda & Dimitrakopoulos, Roussos, 2019. "Dynamically optimizing the strategic plan of mining complexes under supply uncertainty," Resources Policy, Elsevier, vol. 60(C), pages 83-93.
    8. Mehri Aghdamigargari & Sylvester Avane & Angelina Anani & Sefiu O. Adewuyi, 2024. "Sustainability in Long-Term Surface Mine Planning: A Systematic Review of Operations Research Applications," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    9. Guo, Hongquan & Nguyen, Hoang & Vu, Diep-Anh & Bui, Xuan-Nam, 2021. "Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach," Resources Policy, Elsevier, vol. 74(C).
    10. Aldin Ardian & Mustafa Kumral, 2021. "Enhancing mine risk assessment through more accurate reproduction of correlations and interactions between uncertain variables," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(3), pages 411-425, October.
    11. Devendra Joshi & Marwan Ali Albahar & Premkumar Chithaluru & Aman Singh & Arvind Yadav & Yini Miro, 2022. "A Novel Approach to Integrating Uncertainty into a Push Re-Label Network Flow Algorithm for Pit Optimization," Mathematics, MDPI, vol. 10(24), pages 1-20, December.
    12. Lin, Jingsi & Asad, Mohammad Waqar Ali & Topal, Erkan & Chang, Ping & Huang, Jinxin & Lin, Wei, 2024. "A novel model for sustainable production scheduling of an open-pit mining complex considering waste encapsulation," Resources Policy, Elsevier, vol. 91(C).
    13. Rimélé, Adrien & Dimitrakopoulos, Roussos & Gamache, Michel, 2020. "A dynamic stochastic programming approach for open-pit mine planning with geological and commodity price uncertainty," Resources Policy, Elsevier, vol. 65(C).
    14. Armstrong, Margaret & Lagos, Tomas & Emery, Xavier & Homem-de-Mello, Tito & Lagos, Guido & Sauré, Denis, 2021. "Adaptive open-pit mining planning under geological uncertainty," Resources Policy, Elsevier, vol. 72(C).
    15. Jin-Biao Lu & Zhi-Jiang Liu & Dmitry Tulenty & Liudmila Tsvetkova & Sebastian Kot, 2021. "RETRACTED: Implementation of Stochastic Analysis in Corporate Decision-Making Models," Mathematics, MDPI, vol. 9(9), pages 1-16, May.
    16. Parviz Sohrabi & Hesam Dehghani & Behshad Jodeiri Shokri, 2022. "Determination of optimal production rate under price uncertainty—Sari Gunay gold mine, Iran," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(2), pages 187-201, June.
    17. Carlos Cacciuttolo & Edison Atencio, 2023. "In-Pit Disposal of Mine Tailings for a Sustainable Mine Closure: A Responsible Alternative to Develop Long-Term Green Mining Solutions," Sustainability, MDPI, vol. 15(8), pages 1-24, April.

    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:eee:jrpoli:v:86:y:2023:i:pb:s0301420723008061. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    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.