Mapping the Intellectual Landscape of Mining Supply Chain Management: A Bibliometric Review

نوع مقاله : مقاله مروری

نویسندگان

1 Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology; Shahrood, Iran;

2 Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology; Shahrood, Iran

3 Department of Technology and Safety, UiT, The Arctic University of Norway, Tromsø, Norway

10.22034/anm.2026.23390.1689

چکیده

Mining supply chain management (MSCM) is an interdisciplinary and increasingly complex research field that integrates sustainability, risk management, logistics, and technological innovation. Despite the growing number of publications in this domain, there has been a notable absence of a comprehensive bibliometric review to systematically analyze and synthesize the existing body of knowledge. This study aims to address this gap by conducting a detailed analysis of 152 research articles published between 2003 and 2025, retrieved from the Web of Science database. Therefore, the main research question was to explore the thematic and conceptual areas of the mineral supply chain and provide quantitative, analyzable information to understand the necessity and importance of studying this area. Utilizing advanced bibliometric tools such as VOSviewer, the literature was categorized into nine thematic areas, including environmental protection, logistics, inventory control, economic issues, and technological advancements. The analysis not only identifies leading authors and high-impact journals but also examines publication trends and keyword clusters, providing valuable insights into the intellectual structure and evolution of MSCM over the past two decades. Key findings from the study reveal a significant shift in research focus toward sustainability, resilience, and digitalization in recent years, reflecting the growing importance of these themes in addressing contemporary challenges in the mining industry. Additionally, the study highlights critical research gaps, particularly in the development of robust risk management models and comprehensive sustainability frameworks, which are essential for enhancing the effectiveness and efficiency of mining supply chains. The findings underscore the need for future interdisciplinary research that bridges these gaps and explores innovative solutions to the complex challenges faced by the mining sector. By providing a comprehensive bibliometric review of the current state of MSCM research, this study provides a foundation for advancing knowledge and a roadmap for future academic and practical efforts in this area.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Mapping the Intellectual Landscape of Mining Supply Chain Management: A Bibliometric Review

نویسندگان [English]

  • Navid Abdollahi 1
  • Mohammad Ataei 2
  • Farhang Sereshki 2
  • Ali Nouri Qarahasanlou 3
  • Abbas Barabadi 3
1 Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology; Shahrood, Iran;
2 Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology; Shahrood, Iran
3 Department of Technology and Safety, UiT, The Arctic University of Norway, Tromsø, Norway
چکیده [English]

Mining supply chain management (MSCM) is an interdisciplinary and increasingly complex research field that integrates sustainability, risk management, logistics, and technological innovation. Despite the growing number of publications in this domain, there has been a notable absence of a comprehensive bibliometric review to systematically analyze and synthesize the existing body of knowledge. This study aims to address this gap by conducting a detailed analysis of 152 research articles published between 2003 and 2025, retrieved from the Web of Science database. Therefore, the main research question was to explore the thematic and conceptual areas of the mineral supply chain and provide quantitative, analyzable information to understand the necessity and importance of studying this area. Utilizing advanced bibliometric tools such as VOSviewer, the literature was categorized into nine thematic areas, including environmental protection, logistics, inventory control, economic issues, and technological advancements. The analysis not only identifies leading authors and high-impact journals but also examines publication trends and keyword clusters, providing valuable insights into the intellectual structure and evolution of MSCM over the past two decades. Key findings from the study reveal a significant shift in research focus toward sustainability, resilience, and digitalization in recent years, reflecting the growing importance of these themes in addressing contemporary challenges in the mining industry. Additionally, the study highlights critical research gaps, particularly in the development of robust risk management models and comprehensive sustainability frameworks, which are essential for enhancing the effectiveness and efficiency of mining supply chains. The findings underscore the need for future interdisciplinary research that bridges these gaps and explores innovative solutions to the complex challenges faced by the mining sector. By providing a comprehensive bibliometric review of the current state of MSCM research, this study provides a foundation for advancing knowledge and a roadmap for future academic and practical efforts in this area.

کلیدواژه‌ها [English]

  • Mining Supply Chain
  • Bibliometric Review
  • Sustainability
  • Risk Management
  • Research Trends

مراجع

[1]       Sayadi, A., Monjezi, M., & Sharifi, M. (2014). An Approach for Risk Assessment in Open Pit Mines Using FAHP & Fuzzy TOPSIS Methods. Journal of Analytical and Numerical Methods in Mining Engineering, 3(6), 45-58.
[2]       Mirzaeian, Y. (2023). Strategic decision to storage option in gold mines, using the Real option theory. Journal of Analytical and Numerical Methods in Mining Engineering, 13(36), 79-90.
[3]       Moradipour, M., & Hayati, M. (2024). The use of financial derivative tools in the market of construction stones in Lorestan. Journal of Analytical and Numerical Methods in Mining Engineering, 14(40), 79-88.
[4]       Mirzaeian, Y., Golamnejad, J., & Agah, A. (2025). Probabilistic Pit Limit Design with Different Levels of Managerial Risk Tolerance, Considering the Uncertainty of Ore Grade and Final Product Price (Case Study: Afghanistan’s Ainak Copper Mine). Journal of Analytical and Numerical Methods in Mining Engineering, 15(44), 65-76.
[5]       Hult, G. T. M., Ketchen, D. J., & Arrfelt, M. (2007). Strategic supply chain management: Improving performance through a culture of competitiveness and knowledge development. Strategic management journal, 28(10), 1035-1052.
[6]       Awuah-Offei, K., & Adekpedjou, A. (2011). Application of life cycle assessment in the mining industry. The International Journal of Life Cycle Assessment, 16(1), 82-89.
[7]       Gorman, M. R., & Dzombak, D. A. (2018). A review of sustainable mining and resource management: Transitioning from the life cycle of the mine to the life cycle of the mineral. Resources, Conservation and Recycling, 137, 281-291.
[8]       Nouri Qarahasanlou, A., Ataei, M., Khaolukakaie, R., Ghodrati, B., & Mokhberdoran, M. (2017). Maintainability measure based on operating environment, a case study: Sungun copper mine. Journal of Mining and Environment, 8(3), 511-521.
[9]     Doulati Ardejani, F., Maghsoudy, S., Shahhosseini, M., Jodeiri Shokri, B., Doulati Ardejani, S., Shafaei, F., & Rajaee, A. (2022). Developing a conceptual framework of green mining strategy in coal mines: integrating socio-economic, health, and environmental factors. Journal of Mining and Environment, 13(1), 101-115.
[10]   Sarkheil, H., Alghasi, S., & Sadeghy Nejad, A. (2025). Modeling offshore environmental risk assessment: a case study of installing tripod bases in a deep sea mining structure. Journal of Mining and Environment, 16(2), 705-719.
[11]   Mehmeti, G. (2016). A literature review on supply chain management evolution. Economic and Social Development: Book of Proceedings, 482.
[12]   Young, A., & Rogers, P. (2019). A review of digital transformation in mining. Mining, Metallurgy & Exploration, 36(4), 683-699.
[13]   Xu, Y., & Li, Y. (2025). A bibliometric review of innovation ecosystem. Systems Research and Behavioral Science, 42(4), 978-995.
[14]   Sarı, T., & Aypay, A. (2024). A Bibliometric study of issues in educational policy. Education Sciences, 14(6), 568.
[15]   Nageye, A. Y., Jimale, A. D., Abdullahi, M. O., & Ahmed, Y. A. (2024). Emerging trends in data science and big data analytics: A bibliometric analysis. International Journal of Electronics and Communication Engineering, 11(5), 84-98.
[16]   Jena, J. R., Panigrahi, R. R., & Shrivastava, A. K. (2023). A bibliometric analysis on financial engineering studies. International Journal of Financial Engineering, 10(02), 2250039.
[17]   Saraf, H. S., & Kumar, S. P. (2022). Engineering education for sustainable development: Bibliometric analysis. Journal of Engineering Education Transformations, 36, 575-581.
[18]   Li, Z., Wang, G., Lu, J., Broo, D. G., Kiritsis, D., & Yan, Y. (2022). Bibliometric analysis of model-based systems engineering: past, current, and future. IEEE transactions on engineering management, 71, 2475-2492.
[19]   Berger, J. (2023). Use of Bibliometrics to Quantify and Evaluate Scientific Output. In The Quintessence of Basic and Clinical Research and Scientific Publishing (pp. 667-683). Singapore: Springer Nature Singapore.
[20]   Saputro, D. R. S., Prasetyo, H., Wibowo, A., Khairina, F., Sidiq, K., & Wibowo, G. N. A. (2023). Bibliometric analysis of neural basis expansion analysis for interpretable time series (n-beats) for research trend mapping. BAREKENG: Jurnal Ilmu Matematika dan Terapan, 17(2), 1103-1112.
[21]   Chawla, M., Panda, S. N., & Khullar, V. (2024). A bibliometric analyses on emerging trends in communication disorder. Applied Data Science and Smart Systems, 246-255.
[22]   Khairani, M. Z. (2025). Uncovering emerging trends in technology and art education: A bibliometric mapping analysis.
[23]   Vasishta, P., & Singla, A. (2024). Emerging trends in FinTech and financial inclusion: a review and bibliometric analysis. African Journal of Science, Technology, Innovation and Development, 16(5), 575-588.
[24]   Kozan, E., & Liu, S. Q. (2011). Operations research for mining: a classification and literature review. ASOR Bulletin, 30(1), 2-23.
[25]   Sauer, P. C., & Seuring, S. (2019). Extending the reach of multi-tier sustainable supply chain management–insights from mineral supply chains. International Journal of Production Economics, 217, 31-43.
[26]   Dani, S. (2011). Supply Chain Project Management–a structured collaborative and measurable approach 2nd edition, by JB Ayers.
[27]   Zuñiga, R., Wuest, T., & Thoben, K. D. (2015). Comparing mining and manufacturing supply chain processes: challenges and requirements. Production Planning & Control, 26(2), 81–96. https://doi.org/10.1080/09537287.2013.855335
[28]   Prater, E., Biehl, M., & Smith, M. A. (2001). International supply chain agility‐Tradeoffs between flexibility and uncertainty. International journal of operations & production management, 21(5/6), 823-839.
[29]   Zeng, L., Liu, S. Q., Kozan, E., Corry, P., & Masoud, M. (2021). A comprehensive interdisciplinary review of mine supply chain management. Resources Policy, 74, 102274.
[30]   Satapathy, S. (2024). Designing a framework for sustainable supply chain management of coal transportation. In Global Sustainability: Trends, Challenges & Case Studies (pp. 129-143). Cham: Springer Nature Switzerland.
[31]   Desingh, V., & R, B. (2022). Internet of Things adoption barriers in the Indian healthcare supply chain: An ISM‐fuzzy MICMAC approach. The International journal of health planning and management, 37(1), 318-351.
[32]   Werner, T. T., Toumbourou, T., Maus, V., Lukas, M. C., Sonter, L. J., Muhdar, M., ... & Bebbington, A. (2024). Patterns of infringement, risk, and impact driven by coal mining permits in Indonesia. Ambio, 53(2), 242-256.
[33]   Sinaga, P. T., Simatupang, T. M., & Basri, M. H. (2024). Enhancing Supply Chain Resilience in Coal Mining: A Review of Managing Disruptions. Journal of Business & Economics Review (JBER), 8(4).
[34]   Sumbal, M. S., Ahmed, W., Shahzeb, H., & Chan, F. (2023). Sustainable technology strategies for transportation and logistics challenges: an implementation feasibility study. Sustainability, 15(21), 15224.
[35]   Radebe, N., & Chipangamate, N. (2024). Mining industry risks and future critical minerals and metals supply chain resilience in emerging markets.
[36]   Gurr, K. L., & Aliamutu, K. (2025). Intangible Assets as a Driver of Profitability for Johannesburg Stock Exchange-Listed Companies. African Journal of Business and Economic Research, 20(4), 311-334.
[37]   Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: a literature review. International journal of production research, 53(16), 5031-5069.
[38]   Gurtu, A., & Johny, J. (2021). Supply chain risk management: Literature review. Risks, 9(1), 16.
[39]   Aguirre-Villegas, H. A., & Benson, C. H. (2017). Case history of environmental impacts of an Indonesian coal supply chain. Journal of Cleaner Production, 157, 47-56.
[40]   Soleimani, H. (2021). A new sustainable closed-loop supply chain model for mining industry considering fixed-charged transportation: a case study in a travertine quarry. Resources Policy, 74, 101230.
[41]   Shanker, S., & Barve, A. (2021). Analysing sustainable concerns in diamond supply chain: a fuzzy ISM-MICMAC and DEMATEL approach. International Journal of Sustainable Engineering, 14(5), 1269-1285.
[42]   Atitebi, O. S., Dumre, K., & Jones Jr, E. C. (2025). Supporting a Lithium Circular Economy via Reverse Logistics: Improving the Preprocessing Stage of the Lithium-Ion Battery Recycling Supply Chain. Energies, 18(3), 651.
[43]   Shbool, M. A., Al-Bazi, A., & Albashabsheh, N. T. (2025). A mathematical model for potash supply chain management with a strategic logistics perspective. IMA Journal of Management Mathematics, 36(3), 475-498.
[44]   Belov, G., Boland, N. L., Savelsbergh, M. W., & Stuckey, P. J. (2020). Logistics optimization for a coal supply chain. Journal of Heuristics, 26(2), 269-300.
[45]   Strang, K. D. (2012). Prioritization and supply chain logistics as a marketing function in a mining company. Journal of Marketing Channels, 19(2), 141-155.
[46]   Zhang, T., Zhang, C. Y., & Pei, Q. (2019). Misconception of providing supply chain finance: Its stabilising role. International Journal of Production Economics, 213, 175-184.
[47]   Zeng, L., Liu, S. Q., Kozan, E., Burdett, R., Masoud, M., & Chung, S. H. (2023). Designing a resilient and green coal supply chain network under facility disruption and demand volatility. Computers & Industrial Engineering, 183, 109476.
[48]   Ryter, J., Fu, X., Bhuwalka, K., Roth, R., & Olivetti, E. A. (2021). Emission impacts of China’s solid waste import ban and COVID-19 in the copper supply chain. Nature Communications, 12(1), 3753.
[49]   Valderrama, C. V., Santibanez-González, E., Pimentel, B., Candia-Vejar, A., & Canales-Bustos, L. (2020). Designing an environmental supply chain network in the mining industry to reduce carbon emissions. Journal of Cleaner Production, 254, 119688.
[50]   Attari, M. Y. N., & Torkayesh, A. E. (2018). Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry. Operations Research Perspectives, 5, 371-382.
[51]   Arabi, M., & Gholamian, M. R. (2023). Resilient closed-loop supply chain network design considering quality uncertainty: A case study of stone quarries. Resources Policy, 80, 103290.
[52]   Akbari-Kasgari, M., Khademi-Zare, H., Fakhrzad, M. B., Hajiaghaei-Keshteli, M., & Honarvar, M. (2022). Designing a resilient and sustainable closed-loop supply chain network in copper industry. Clean technologies and environmental policy, 24(5), 1553-1580.
[53]   Jiang, R., Liu, C., Liu, X., & Zhang, S. (2023). Supply chain resilience of mineral resources industry in China. Discrete Dynamics in Nature and Society, 2023(1), 1338223.
[54]   Pan, L., Liu, P., Ma, L., & Li, Z. (2012). A supply chain based assessment of water issues in the coal industry in China. Energy Policy, 48, 93-102.
[55]   Schomberg, A. C., von Tümpling, W., & Kynast, E. (2025). Arsenic leakage crisis in supply chain of battery storage materials: water quality footprint of cobalt mining demands action. Water Resources and Industry, 100277.
[56]   Azzamouri, B., & Hovelaque, V. (2024, April). An integrated steering approach to improve a phosphate supply chain efficiency. In Supply Chain Forum: An International Journal (Vol. 25, No. 2, pp. 229-245). Taylor & Francis.
[57]    van den Brink, S., Kleijn, R., Sprecher, B., Mancheri, N., & Tukker, A. (2022). Resilience in the antimony supply chain. Resources, Conservation and Recycling, 186, 106586.
[58]   Van den Brink, S., Kleijn, R., Sprecher, B., & Tukker, A. (2020). Identifying supply risks by mapping the cobalt supply chain. Resources, Conservation and Recycling, 156, 104743.
[59]   Li, P., Liu, Q., Zhou, P., & Li, Y. (2023). Mapping global platinum supply chain and assessing potential supply risks. Frontiers in Energy Research, 11, 1033220.
[60]   Kalinowski, T., Matthews, J., & Waterer, H. (2020). Scheduling of maintenance windows in a mining supply chain rail network. Computers & Operations Research, 115, 104670.
[61]   Hilali, H., Hovelaque, V., & Giard, V. (2023). Integrated scheduling of a multi-site mining supply chain with blending, alternative routings and co-production. International Journal of Production Research, 61(6), 1829-1848.
[62]   Xing, M., Awuah-Offei, K., Long, S., & Usman, S. (2017). The effect of local supply chain on regional economic impacts of mining. The Extractive Industries and Society, 4(3), 622-629.
[63]   Ryter, J., Bhuwalka, K., O'Rourke, M., Montanelli, L., Cohen‐Tanugi, D., Roth, R., & Olivetti, E. (2024). Understanding key mineral supply chain dynamics using economics‐informed material flow analysis and Bayesian optimization. Journal of Industrial Ecology, 28(4), 709-726.
[64]   Becerra, P., & Diaz, J. (2025). Supplier Selection Model Considering Sustainable and Resilience Aspects for Mining Industry. Systems, 13(2), 81.‏
[65]   Udokwu, C., Brandtner, P., Darbanian, F., & Falatouri, T. (2022). Proposals for addressing research gaps at the intersection of data analytics and supply chain management. Journal of Advances in Information Technology, 13(4).‏
[66]   Khoshfarman Borji, M., Sayadi, A. R., & Nikbakhsh, E. (2023). A novel sustainable multi-objective optimization model for steel supply chain design considering technical and managerial issues: a case study. Journal of Mining and Environment, 14(1), 295-319.
[67]   Kumar, S., & Shukla, T. (2024). Optimizing supply chain management through advanced data mining applications. International Journal of Sciences and Innovation Engineering, 1(3), 1-9.‏
[68]   Khedr, A. M. (2024). Enhancing supply chain management with deep learning and machine learning techniques: A review. Journal of Open Innovation: Technology, Market, and Complexity, 10(4), 100379.‏
[69]   Lee, J., Bazilian, M., Sovacool, B., & Greene, S. (2020). Responsible or reckless? A critical review of the environmental and climate assessments of mineral supply chains. Environmental Research Letters, 15(10).‏
[70]   Franken, G., & Schütte, P. (2022). Current trends in addressing environmental and social risks in mining and mineral supply chains by regulatory and voluntary approaches. Mineral Economics, 35(3), 653-671.‏
[71]   Bilham, N. T. (2021). Responsible mining and responsible sourcing of minerals: opportunities and challenges for cooperation across value chains.‏
[72]   Ha, S. H., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert systems with applications, 34(2), 1303-1311.
[73]   Thomassey, S. (2010). Sales forecasts in clothing industry: The key success factor of the supply chain management. International Journal of Production Economics, 128(2), 470-483.
[74]   Davis, S. J., Peters, G. P., & Caldeira, K. (2011). The supply chain of CO2 emissions. Proceedings of the National Academy of Sciences, 108(45), 18554-18559.
[75]   Muduli, K., Govindan, K., Barve, A., & Geng, Y. (2013). Barriers to green supply chain management in Indian mining industries: a graph theoretic approach. Journal of Cleaner Production, 47, 335-344.
[76]   Muduli, K., Govindan, K., Barve, A., Kannan, D., & Geng, Y. (2013). Role of behavioural factors in green supply chain management implementation in Indian mining industries. Resources, conservation and recycling, 76, 50-60.
[77]   Chae, B., Olson, D., & Sheu, C. (2014). The impact of supply chain analytics on operational performance: a resource-based view. International Journal of Production Research, 52(16), 4695-4710.
[78]   Ting, S. L., Tse, Y. K., Ho, G. T. S., Chung, S. H., & Pang, G. (2014). Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry. International Journal of Production Economics, 152, 200-209.
[79]   Luthra, S., Garg, D., & Haleem, A. (2015). An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective. Resources Policy, 46, 37-50.
[80]   Kusi-Sarpong, S., Bai, C., Sarkis, J., & Wang, X. (2015). Green supply chain practices evaluation in the mining industry using a joint rough sets and fuzzy TOPSIS methodology. Resources Policy, 46, 86-100.
[81]   Kusi-Sarpong, S., Sarkis, J., & Wang, X. (2016). Assessing green supply chain practices in the Ghanaian mining industry: A framework and evaluation. International Journal of Production Economics, 181, 325-341.
[82]   Govindan, K., Muduli, K., Devika, K., & Barve, A. (2016). Investigation of the influential strength of factors on adoption of green supply chain management practices: An Indian mining scenario. Resources, Conservation and Recycling, 107, 185-194.
[83]   Rueda, X., Garrett, R. D., & Lambin, E. F. (2017). Corporate investments in supply chain sustainability: Selecting instruments in the agri-food industry. Journal of cleaner production, 142, 2480-2492.
[84]   Wang, J., & Yue, H. (2017). Food safety pre-warning system based on data mining for a sustainable food supply chain. Food Control, 73, 223-229.
[85]   Mayyas, A., Steward, D., & Mann, M. (2019). The case for recycling: Overview and challenges in the material supply chain for automotive li-ion batteries. Sustainable materials and technologies, 19, e00087.
[86]   Sun, X., Hao, H., Hartmann, P., Liu, Z., & Zhao, F. (2019). Supply risks of lithium-ion battery materials: An entire supply chain estimation. Materials Today Energy, 14, 100347.
[87]   Gulley, A. L., McCullough, E. A., & Shedd, K. B. (2019). China's domestic and foreign influence in the global cobalt supply chain. Resources Policy, 62, 317-323.
[88]   Hastig, G. M., & Sodhi, M. S. (2020). Blockchain for supply chain traceability: Business requirements and critical success factors. Production and Operations Management, 29(4), 935-954.
[89]   Bag, S., Wood, L. C., Xu, L., Dhamija, P., & Kayikci, Y. (2020). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources, conservation and recycling, 153, 104559.
[90]   Kara, M. E., Fırat, S. Ü. O., & Ghadge, A. (2020). A data mining-based framework for supply chain risk management. Computers & Industrial Engineering, 139, 105570.

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  • تاریخ دریافت: 23 مرداد 1404
  • تاریخ بازنگری: 16 دی 1404
  • تاریخ پذیرش: 23 دی 1404

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