Harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining
The combination of advanced technologies and data-driven decision-making in the Fourth Industrial Revolution presents substantial opportunities for improving manufacturing processes, particularly in the realm of predictive maintenance. Nevertheless, the utilization of this technology in the mining i...
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my.uniten.dspace-368912025-03-03T15:45:32Z Harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining Alqaraleh D.A. Hajjaj S. Mohamed H. 59453631900 55812832600 57136356100 Industry 4.0 Mining industry Smart manufacturing Advanced technology Data driven decision Decisions makings Implementation process Industrial revolutions Manufacturing industries Manufacturing process Manufacturing sector Mining sector Predictive maintenance Predictive maintenance The combination of advanced technologies and data-driven decision-making in the Fourth Industrial Revolution presents substantial opportunities for improving manufacturing processes, particularly in the realm of predictive maintenance. Nevertheless, the utilization of this technology in the mining industry has not been thoroughly investigated. This research investigates the effects of Industry 4.0 on the practice of predictive maintenance within the manufacturing sector, with a specific emphasis on the mining industry. This study examines the various patterns and challenges associated with the implementation process, thereby addressing a gap in the existing literature. This research investigates the potential of Industry 4.0 in enhancing predictive maintenance within the manufacturing sector, with a specific focus on the mining industry. The study utilizes a content-centric methodology to examine the field of sustainable manufacturing, with a particular emphasis on identifying and evaluating promising technologies such as cyber-physical systems, the Internet of Things (IoT), big data analytics, digital twins, augmented reality (AR), and artificial intelligence (AI). Nevertheless, it is imperative to acknowledge and tackle various challenges that arise during the deployment of technology, such as security concerns, human factors, and the need for procedural enhancements. ? The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Final 2025-03-03T07:45:32Z 2025-03-03T07:45:32Z 2024 Conference paper 10.1007/978-3-031-70684-4_5 2-s2.0-85210883720 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210883720&doi=10.1007%2f978-3-031-70684-4_5&partnerID=40&md5=46a830d4e74c56188e96c81956142dc7 https://irepository.uniten.edu.my/handle/123456789/36891 1132 LNNS 53 74 Springer Science and Business Media Deutschland GmbH Scopus |
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Industry 4.0 Mining industry Smart manufacturing Advanced technology Data driven decision Decisions makings Implementation process Industrial revolutions Manufacturing industries Manufacturing process Manufacturing sector Mining sector Predictive maintenance Predictive maintenance |
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Industry 4.0 Mining industry Smart manufacturing Advanced technology Data driven decision Decisions makings Implementation process Industrial revolutions Manufacturing industries Manufacturing process Manufacturing sector Mining sector Predictive maintenance Predictive maintenance Alqaraleh D.A. Hajjaj S. Mohamed H. Harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining |
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The combination of advanced technologies and data-driven decision-making in the Fourth Industrial Revolution presents substantial opportunities for improving manufacturing processes, particularly in the realm of predictive maintenance. Nevertheless, the utilization of this technology in the mining industry has not been thoroughly investigated. This research investigates the effects of Industry 4.0 on the practice of predictive maintenance within the manufacturing sector, with a specific emphasis on the mining industry. This study examines the various patterns and challenges associated with the implementation process, thereby addressing a gap in the existing literature. This research investigates the potential of Industry 4.0 in enhancing predictive maintenance within the manufacturing sector, with a specific focus on the mining industry. The study utilizes a content-centric methodology to examine the field of sustainable manufacturing, with a particular emphasis on identifying and evaluating promising technologies such as cyber-physical systems, the Internet of Things (IoT), big data analytics, digital twins, augmented reality (AR), and artificial intelligence (AI). Nevertheless, it is imperative to acknowledge and tackle various challenges that arise during the deployment of technology, such as security concerns, human factors, and the need for procedural enhancements. ? The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. |
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59453631900 |
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59453631900 Alqaraleh D.A. Hajjaj S. Mohamed H. |
format |
Conference paper |
author |
Alqaraleh D.A. Hajjaj S. Mohamed H. |
author_sort |
Alqaraleh D.A. |
title |
Harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining |
title_short |
Harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining |
title_full |
Harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining |
title_fullStr |
Harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining |
title_full_unstemmed |
Harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining |
title_sort |
harnessing the fourth industrial revolution: trends and challenges in applying industry 4.0 to enhance predictive maintenance in manufacturing, specifically mining |
publisher |
Springer Science and Business Media Deutschland GmbH |
publishDate |
2025 |
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1825816197072945152 |
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13.244413 |