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Eight Conditions That Will Change Mining Work in Mining 4.0
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Humans and Technology.ORCID iD: 0000-0003-1091-5039
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Humans and Technology.ORCID iD: 0000-0002-1367-3277
2024 (English)In: Mining, E-ISSN 2673-6489, Vol. 4, no 4, p. 904-912Article in journal (Refereed) Published
Abstract [en]

The mining industry is undergoing a transformation driven by the adoption of Industry 4.0 technologies, implementing autonomous trucks, drones, positions systems, and similar technologies. This article, drawing on experiences and observations from several studies conducted in the mining industry, explores the impact of these technologies on mining work. It identifies eight key potential changes in working conditions. Firstly, routine and dangerous tasks are increasingly automated, reducing physical strain but potentially leading to job displacement and increased maintenance demands. Secondly, operators and managers are shifting toward handling disturbances and training algorithms, as AI takes over decision-making processes. Thirdly, managers are responsible for more capital with fewer people, potentially altering managerial roles and spans of control. Fourthly, the global connectivity of operations makes the world both larger and smaller, with a universal language blurring boundaries. Fifthly, work becomes location-independent, allowing for remote operation and management. Sixthly, the distinction between work and private life blurs, with increased availability expected from operators and managers. Seventhly, technology expands human senses, providing real-time data and situational awareness. Eighthly and lastly, the pervasive collection and retention of data create a scenario where one’s history is inescapable, raising concerns about data ownership and privacy. These changes necessitate a strategic response from the mining industry to ensure socially sustainable technology development and to attract a future workforce.

Place, publisher, year, edition, pages
MDPI, 2024. Vol. 4, no 4, p. 904-912
Keywords [en]
Mining 4.0, digitization, artificial intelligence, work organization, Sweden
National Category
Other Civil Engineering Production Engineering, Human Work Science and Ergonomics
Research subject
Human Work Sciences
Identifiers
URN: urn:nbn:se:ltu:diva-110722DOI: 10.3390/mining4040050OAI: oai:DiVA.org:ltu-110722DiVA, id: diva2:1913460
Note

Godkänd;2024;Nivå 0;2024-11-15 (sarsun);

Full text license: CC BY 4.0;

Funder: LKAB; European Union (grant agreements 280855, 730302 and 101003591);

Available from: 2024-11-15 Created: 2024-11-15 Last updated: 2024-11-15Bibliographically approved

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Lööw, JoelJohansson, Jan

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