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Adoption of autonomous mining system in Pakistan – Policy, skillset, awareness and preparedness of stakeholders

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  • Ali, Danish
  • Ur Rehman, Atta

Abstract

Autonomous mining systems comprise of the latest, innovative, and automated technology designed to improve mine productivity, efficiency, and workplace safety. These automated systems have already been adopted in developed countries like Australia and the United States. In recent years research has emerged to address the awareness and preparedness of stakeholders towards the adaption of Autonomous Mining Systems dedicated towards African countries. The present study is a novel effort in evaluating the current scale of knowledge and skills of mining engineers working in Pakistan's mining industry, government sector, and academia. The study focuses on exploring the awareness about the understanding of the autonomous mining systems, and the level of preparedness of all the stakeholders towards the adoption of this modern technology, along with the resulting social impacts, in a developing country like Pakistan. This paper employed closed and open-ended questionnaires, distributed in electronic formats, to achieve the aforementioned objective. The results were analyzed qualitatively using thematic analysis and quantitatively using results synthesis employing statistical analysis in Python. Substantial evidence has been provided indicating a huge knowledge gap and severe lack of planning and policy enforcement towards the adoption of autonomous mining systems in Pakistan. More than 74% of the respondents, with the majority of them belonging to industry and academia, appeared willing to accept the adoption of autonomous mining systems in Pakistan, due to the resulting improvements in safety and productivity. However, government agencies had varied opinions, with the knowledge gap and the fear of increased unemployment being the major reasons for their resistance to technology adoption. The majority of the graduate mining engineers (60.35%) mentioned the inadequacy of the undergraduate and graduate coursework for providing skills needed to work with autonomous systems. Therefore, it is recommended that the mining curriculum be revised to contain more courses that are relevant to gaining skills in autonomous mining. A government-industry-academia collaboration is also recommended to fund and develop facilities that can help bridge this existing knowledge gap, thus facilitating an early adoption of modern technology in Pakistan's mining sector.

Suggested Citation

  • Ali, Danish & Ur Rehman, Atta, 2020. "Adoption of autonomous mining system in Pakistan – Policy, skillset, awareness and preparedness of stakeholders," Resources Policy, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420719308049
    DOI: 10.1016/j.resourpol.2020.101796
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    References listed on IDEAS

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    1. Ossa-Moreno, Juan & McIntyre, Neil & Ali, Saleem & Smart, James C.R. & Rivera, Diego & Lall, Upmanu & Keir, Greg, 2018. "The Hydro-economics of Mining," Ecological Economics, Elsevier, vol. 145(C), pages 368-379.
    2. Bellamy, Drew & Pravica, Luka, 2011. "Assessing the impact of driverless haul trucks in Australian surface mining," Resources Policy, Elsevier, vol. 36(2), pages 149-158, June.
    3. Kansake, Bruno Ayaga & Kaba, Felix Adaania & Dumakor-Dupey, Nelson Kofi & Arthur, Clement Kweku, 2019. "The future of mining in Ghana: Are stakeholders prepared for the adoption of autonomous mining systems?," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
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    Cited by:

    1. Hammad Tariq Janjuhah & Muhammad Ishfaque & Muhammad Ifzal Mehmood & George Kontakiotis & Syed Muzyan Shahzad & Stergios D. Zarkogiannis, 2021. "Integrated Underground Mining Hazard Assessment, Management, Environmental Monitoring, and Policy Control in Pakistan," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    2. Ur Rehman, Atta & Emad, Muhammad Zaka & Khan, Muhammad Usman & Saleem, Muhammad Ahsan & Saki, Saqib A., 2021. "Investigation and analysis of fatal accidents reporting practices in the Punjab province of Pakistan and remedial measures," Resources Policy, Elsevier, vol. 73(C).
    3. 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).

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