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 Journal of Statistics and Management Systems cover
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Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

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Open Access Research Article

The role of digital technologies in enhancing safety and competitiveness in the steel industry : A review of industry 4.0 applications

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pp. 661–678Vol. 29Issue 6June 2026DOI: 10.47974/JSMS-1615XML
Received:
01 Aug 2025
Published Online:
22 May 2026
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1615
Pages:
661–678

Abstract

The steel sector is a fundamental industry in the global economy, facing challenges in both safety aspects and the need to increase competitiveness in response to growing environmental regulations and global market pressures. This article, based on information provided by various sources, reflects on the multifaceted role of digital technology (including technology related to Industry 4.0) in addressing these challenges. Digital tools result in safer environments. Digital technologies help make workplaces safer by enabling automated monitoring systems, such as Computer Vision, for detecting potential hazards and the use of robotics to keep workers away from dangerous situations. Moreover, solutions like AI-powered Predictive Maintenance enhance the reliability of your equipment, which is extremely important for security in high-risk environments and also to enhance operational efficiency. At the same time, digital innovations are important drivers of competitiveness by enabling more energy and resource-efficient production, incentivising decarbonisation, and improving supply chain management. Despite the promise, the implementation of such solutions will be contingent on research knowledge gaps regarding the use and application of solutions in practice, as well as the training of the workforce.

Keywords

Subject Classifications

68V99

References

[1] International Energy Agency, Iron and Steel Technology Roadmap (2020). [Online]. Available: https://www.iea.org/reports/iron-and-steel-technology-roadmap
[2] S. AbdelHamid and A. Nouh, “Assessing the sustainability of construction projects in Egypt,” International Journal of Advanced Engineering and Business Sciences, vol. 4, pp. 222–241 (2023), doi: 10.21608/ijaebs.2023.168910.1060.
[3] Q. Li, P. Wang, F. Wang, Y. Zhang, H. Wang, Q. Xu, M. Xu, and L. Bai, “Low-carbon production in China’s iron and steel industry: Technology choices, economic assessment, and policy,” Atmosphere, vol. 16, no. 3, p. 252 (2025), doi: 10.3390/atmos16030252.
[4] S. Shooshtarian, T. Maqsood, P. S. P. Wong, M. Khalfan, and R. J. Yang, “Construction and demolition waste management in Australia,” Preprints (2020), doi: 10.20944/preprints202007.0118.v1.
[5] K. Anastasiades, J. Dockx, M. van den Berg, M. Rinke, J. Blom, and A. Audenaert., “Stakeholder perceptions on implementing design for disassembly and standardisation for heterogeneous construction components,” Waste Management & Research, vol. 41, no. 8, pp. 1372–1381 (2023), doi: 10.1177/0734242X231154140.
[6] R. K. Mobley, An Introduction to Predictive Maintenance, 2nd ed. Oxford, U.K.: Butterworth-Heinemann (2002).
[7] S. Selcuk, “Predictive maintenance: Implementation and latest trends,” Proc. IMechE Part B: Journal of Engineering Manufacture, vol. 231, no. 9, pp. 1670–1679 (2016), doi: 10.1177/0954405415601640.
[8] M. Wang and N. Kashaev, “Maintenance of processing stability in laser-directed energy deposition via machine learning,” Journal of Manufacturing Systems, vol. 73, pp. 126–142 (2024), doi: 10.1016/j.jmsy.2024.01.005.
[9] G. Narkhede, B. Pasi, N. Rajhans, and A. Kulkarni, “Industry 5.0 and the future of sustainable manufacturing: A systematic literature review,” Business Strategy & Development, vol. 6, pp. 704–723 (2023), doi: 10.1002/bsd2.272.
[10] H. Hosni, “Predictive maintenance in the era of Industry 5.0: Challenges and opportunities,” Journal of Materials and Engineering, vol. 3, pp. 376–382 (2024), doi: 10.61552/JME.2025.04.004.
[11] P. Srilatha, S. P. Bendale, M. Singh, N. Chakole, G. M. Dhote, and N. Shelke, “Machine intelligence security: A methodological blend of fuzzy logic in Industry 4.0 algorithms,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2, pp. 689–701 (2024), doi: 10.47974/JDMSC-1920.
[12] IISE Annual Conference & Expo, “Hybrid prediction model for power consumption in steel manufacturing,” in Proc. IISE Annual Conference, pp. 1367–1372 (2023).
[13] S. Kumar, “Hydrogen-based steel making—The future?” Journal of Material & Metallurgical Engineering, vol. 14, pp. 38–66 (2024).
[14] McKinsey & Company, “Decarbonizing steel: A green hydrogen roadmap,” (2022). [Online]. Available: https://www.mckinsey.com
[15] Z. Qiu, “Applications of carbon capture technologies in steel and cement industries,” Advances in Economics, Management and Political Sciences, vol. 123, pp. 36–41 (2024), doi: 10.54254/2754-1169/123/2024MUR0109.
[16] M. Urban, L. Nipius, and C. Egenhofer, “Policy framework for boosting demand for green steel,” CEPS Report (2024). [Online]. Available: https://www.ceps.eu
[17] Ministry of Steel, Government of India, National Steel Policy 2017 (2017). [Online]. Available: https://steel.gov.in
[18] R. Lan, I. Awolusi, and J. Cai, “Computer vision for safety management in the steel industry,” AI, vol. 5, pp. 1192–1215 (2024), doi: 10.3390/ai5030058.
[19] Y. Hu, S. Ren, Y. Wang, and X. Chen, “Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China,” Energy Economics, vol. 85 (2020).
[20] Y. Gu, W. Liu, B. Wang, B. Tian, X. Yang, and C. Pan., “Analysis and prediction of energy, environmental and economic potentials in the iron and steel industry of China,” Processes, vol. 11, p. 3258 (2023), doi: 10.3390/pr11123258.
[21] B. Gajdzik, R. Wolniak, and W. Grebski, “Changes in the steel chain in Industry 4.0: Results of a survey on the Polish steel market,” Production Engineering Archives, vol. 30, pp. 1–16 (2024), doi: 10.30657/pea.2024.30.1.
[22] X. Yang, H. Wang, Y. Gu, W. Liu, and C. Pan, “Comprehensive assessment of green and low-carbon technologies in the steel industry,” Processes, vol. 12, p. 397 (2024), doi: 10.3390/pr12020397.
[23] A. R. Keshetti, V. S. P. Ruela, H. Chen, and M. R. Machado, “Advanced analytics to improve energy efficiency of steel industry: A systematic review on ladle logistics,” Cleaner Engineering and Technology, vol. 25, p. 100907 (2025), doi: 10.1016/j.clet.2025.100907.
[24] X.-F. Ma, R. Zhang, and Y.-F. Ruan, “Evaluation of green development based on entropy weight TOPSIS: Evidence from China,” International Journal of Environmental Research and Public Health, vol. 20, p. 1707 (2023), doi: 10.3390/ijerph20031707.
[25] E. Iriakuma, O. Ukela, and U. Ajuru, “Forecasting energy consumption with AI: A review for sustainable energy management,” International Journal of Latest Technology in Engineering, Management & Applied Science, vol. 13, pp. 14–21 (2024), doi: 10.51583/IJLTEMAS.2024.130303.
[26] T. Watari and B. McLellan, “Decarbonizing the global steel industry in a resource-constrained future,” Philosophical Transactions of the Royal Society A, vol. 382 (2024), doi: 10.1098/rsta.2023.0233.
[27] R. An, B. Yu, R. Li, and Y.-M. Wei, “Potential of energy savings and CO2 emission reduction in China’s iron and steel industry,” Applied En­ergy, vol. 226, pp. 862–880 (2018), doi: 10.1016/j.apenergy.2018.06.044.
[28] Y. Qiao and G. Wang, “Recent status of production, administration policies, and low-carbon technology development of China’s steel industry,” Metals, vol. 14, p. 480 (2024), doi: 10.3390/met14040480.
[29] B. Anupama, J. S. Ravi Kumar, K. Kirthika, I. Joseph, and H. Bhavsar, “The conceptual understanding on the role of human factor in the era of Industry 4.0,” Journal of Information and Optimization Sciences, vol. 45, no. 6, pp. 1663–1679 (2024), doi: 10.47974/JIOS-1643.
[30] G. Di Foggia and M. Beccarello, “Decarbonization in the European steel industry: Strategies, risks, and commitments,” Environmental Challenges (2024), doi: 10.1016/j.envc.2024.100988.
[31] H. T. Abuluwefa, “Emissions reduction from fuel switching in the Libyan iron and steel industry,” International Journal of Engineering Research & Technology, vol. 6, no. 5, pp. 68–74 (2017).
[32] V. S. P. Ruela, P. van Beurden, B. Luchini, R. Hofmann, and F. Birkelbach, “Optimizing steel ladle thermal management toward sustainable logistics,” Steel Research International, vol. 96 (2024), doi: 10.1002/srin.202400616.
[33] R. An, B. Yu, R. Li, and Y.-M. Wei, “Potential of energy savings and CO₂ emission reduction in China’s iron and steel industry,” Applied Energy, vol. 226, pp. 862–880 (2018), doi: 10.1016/j.apenergy.2018.06.044.
[34] U. S. Environmental Protection Agency, “Sustainable materials management,” (2018). [Online]. Available: https://www.epa.gov/smm
[35] World Steel Association, World Steel in Figures 2023 (2023). [Online]. Available: https://worldsteel.org
[36] Y. Zhou, F. Hao, W. Meng, and J. Fu, “Scenario analysis of energy-based low-carbon development in China,” Journal of Environmental Sciences, vol. 26 (2014), doi: 10.1016/j.jes.2014.06.003..1016/j.jes.2014.06.003. 

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