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Technology adoption in mining: A multi-criteria method to select emerging technology in surface mines

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  • Dayo-Olupona, Oluwatobi
  • Genc, Bekir
  • Onifade, Moshood

Abstract

The integration of technologies across the mining value chain is becoming critical, and it is crucial to identify the best possible technologies applicable to an operation, based on the chosen criteria. This study investigates the adoptable technologies for a mining project, develops a conceptual framework for the analytical process and validates the framework using a hypothetical case study. The case study comprised of a technology decision problem, the result of which consisted of six technology alternatives, four criteria, and one decision maker.

Suggested Citation

  • Dayo-Olupona, Oluwatobi & Genc, Bekir & Onifade, Moshood, 2020. "Technology adoption in mining: A multi-criteria method to select emerging technology in surface mines," Resources Policy, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:jrpoli:v:69:y:2020:i:c:s0301420720309107
    DOI: 10.1016/j.resourpol.2020.101879
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Aleksandr Rakhmangulov & Konstantin Burmistrov & Nikita Osintsev, 2022. "Selection of Open-Pit Mining and Technical System’s Sustainable Development Strategies Based on MCDM," Sustainability, MDPI, vol. 14(13), pages 1-31, June.
    3. Ediriweera, Amali & Wiewiora, Anna, 2021. "Barriers and enablers of technology adoption in the mining industry," Resources Policy, Elsevier, vol. 73(C).
    4. Yamashita, Andre S. & Fujii, Hidemichi, 2022. "Trend and priority change of climate change mitigation technology in the global mining sector," Resources Policy, Elsevier, vol. 78(C).
    5. Dayo-Olupona, Oluwatobi & Genc, Bekir & Celik, Turgay & Bada, Samson, 2023. "Adoptable approaches to predictive maintenance in mining industry: An overview," Resources Policy, Elsevier, vol. 86(PA).

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