Literature Review on the Role of Mechanical Engineering in Supporting the Industrial Revolution 5.0
DOI:
https://doi.org/10.62872/cepvx738Keywords:
Human-Machine Collaboration, Mechanical-Engineering, Sustainable ManufacturingAbstract
The Industrial Revolution 5.0 marks a paradigm shift from full automation to symbiotic collaboration between humans and machines, emphasizing a human-centric approach, sustainability, and the integration of intelligent technologies. In this context, the role of mechanical engineering has undergone a significant transformation, from merely designing mechanical systems to becoming a multidisciplinary bridge between digital technology and human needs. This study aims to review the literature related to the contribution of mechanical engineering in supporting intelligent manufacturing systems, human-machine collaboration, and the application of sustainability principles such as circular economy and eco-design. Using a qualitative literature study method, data were obtained from indexed academic sources in the last decade and analyzed using a thematic approach. The results of the study indicate that mechanical engineering must integrate artificial intelligence, the Internet of Things (IoT), and cyber-physical systems to support adaptive and efficient production. In addition, the development of cobots requires expertise in safety-based and ergonomic design. In terms of the environment, mechanical engineers are required to apply the principles of product life cycle engineering and low-emission technologies. This transformation creates cross-field challenges that require new competencies and a systemic approach. Therefore, a comprehensive literature review is a strategic basis for formulating the direction of adaptive and sustainable mechanical engineering development in the Industry 5.0 era
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Andriyani, W., Inayah, I., Ikhsan, Z., Dewi, S. M., Khudori, A. N., Haris, M. S., ... & Faizah, S. (2024). TEKNOLOGI IoT PADA BIDANG PERTANIAN MODERN. TOHAR MEDIA.
Broo, D. G., Kaynak, O., & Sait, S. M. (2022). Rethinking engineering education at the age of industry 5.0. Journal of Industrial Information Integration, 25, 100311.
Cruz, J. C., & Garcia, A. M. (2024). Machine Learning for Predictive Maintenance to Enhance Energy Efficiency in Industrial Operations. ITEJ (Information Technology Engineering Journals), 9(1), 15-22.
Elgazzar, M. A. G. (2024). The impact of Eco-Design strategies in improving Industrial Product Lifecycle. International Design Journal, 14(1), 381-395.
Handayani, K. (2024). Strategi adaptif untuk mempertahankan tenaga kerja di era society 5.0: Menghadapi tantangan cobot. Jurnal Penelitian Multidisiplin Bangsa, 1(3), 185-200.
Hauashdh, A., Nagapan, S., Jailani, J., & Gamil, Y. (2024). An integrated framework for sustainable and efficient building maintenance operations aligning with climate change, SDGs, and emerging technology. Results in Engineering, 21, 101822.
Islam, M. T., Sepanloo, K., Woo, S., Woo, S. H., & Son, Y. J. (2025). A review of the industry 4.0 to 5.0 transition: exploring the intersection, challenges, and opportunities of technology and Human–Machine collaboration. Machines, 13(4), 267.
Javaid, M., Haleem, A., Singh, R. P., Rab, S., & Suman, R. (2022). Significant applications of cobots in the field of manufacturing. Cognitive Robotics, 2, 222-233.
Kong, L., Wang, L., Li, F., Tian, G., Li, J., Cai, Z., ... & Fu, Y. (2022). A life-cycle integrated model for product eco-design in the conceptual design phase. Journal of Cleaner Production, 363, 132516.
Liang, J. S. (2023). A knowledge with ontology representation for product life cycle to support eco-design activities. Journal of Engineering, Design and Technology, 21(4), 991-1026.
Musarat, M. A., Irfan, M., Alaloul, W. S., Maqsoom, A., & Ghufran, M. (2023). A review on the way forward in construction through industrial revolution 5.0. Sustainability, 15(18), 13862.
Raharjo, B. (2023). Teori Etika Dalam Kecerdasan Buatan (AI). Penerbit Yayasan Prima Agus Teknik, 1-135.
Rehan, H. (2021). Energy efficiency in smart factories: leveraging IoT, AI, and cloud computing for sustainable manufacturing. Journal of Computational Intelligence and Robotics, 1(1), 18.
Rijwani, T., Kumari, S., Srinivas, R., Abhishek, K., Iyer, G., Vara, H., ... & Gupta, M. (2025). Industry 5.0: A review of emerging trends and transformative technologies in the next industrial revolution. International Journal on Interactive Design and Manufacturing (IJIDeM), 19(2), 667-679.
Setiyo, M., & Rochman, M. L. (2023). The role of mechanical engineering in the era of industry 4.0 and society 5.0. Mechanical Engineering for Society and Industry, 3(2), 54-56.
Sundaramoorthy, S., Kamath, D., Nimbalkar, S., Price, C., Wenning, T., & Cresko, J. (2023). Energy efficiency as a foundational technology pillar for industrial decarbonization. Sustainability, 15(12), 9487.
Taj, I., & Zaman, N. (2022). Towards industrial revolution 5.0 and explainable artificial intelligence: Challenges and opportunities. International Journal of Computing and Digital Systems, 12(1), 295-320.
Ugih Rizqi, Z. (2021). Perancang Digital Twin Berbasis Simulasi untuk Smart Warehouse: Asset Administration Shell Framework (Doctoral dissertation, Universitas Islam Indonesia).
Zainal, R. F., Alim, S., Arizal, A., & Purnama, R. (2025). Tinjauan Integrasi Teknologi Deep Learning Untuk Revolusi Industri Dalam Sistem Siber-Fisik. INTER TECH, 3(1), 54-64.
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Copyright (c) 2025 Eric Krisna (Author)
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