The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Critical Components of Industry 5.0 Towards a Successful Adoption in the Field of Manufacturing
Abstract
The fifth industrial revolution is known as Industry 5.0 and is being evolved to focus on the personalized demand of customers. This industrial revolution is required to provide better interaction among humans and machines to achieve effective and faster outcomes. It provides a new era of personalization and solves complex problems. Digital technologies provide a new paradigm in manufacturing and eliminate repetitive jobs. It applies human intelligence to understand the requirement of a human operator. The data in manufacturing can be analyzed using machine learning and artificial intelligence (AI). This paper discusses the development of all industrial revolutions and differentiates between Industry 4.0 and Industry 5.0. Further, it identifies the significant elements and capabilities of Industry 5.0 in the manufacturing field. This paper finally identifies 17 critical components of Industry 5.0 and discusses them briefly. Intelligent machines used in this revolution are efficiently used to solve real problems. It provides higher accuracy and speeds up the industrial automation with the help of critical thinking of human resources. Industry 5.0 provides computing power to the industry, which is to facilitate the digital manufacturing systems that are built to communicate with other systems. Thus, with mass personalization, there is customer delight with higher value addition through Industry 5.0.
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Cites
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172
Industry 4.0: state of the art and future trends
Xu, L. D., Xu, E. L., & Li, L. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1444806 · Cited by 3,221
Industry 5.0—A Human-Centric Solution
Nahavandi, S. (2019) · Sustainability · doi:10.3390/su11164371 · Cited by 1,695
5G Internet of Things: A survey
Li, S., Xu, L. D., & Zhao, S. (2018) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2018.01.005 · Cited by 1,293
China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”
Li, L. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.05.028 · Cited by 1,073
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
Aceto, G., Persico, V., & Pescapé, A. (2020) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2020.100129 · Cited by 876
Customer experience challenges: Bringing together digital, physical and social realms
Bolton, R. N., McColl-Kennedy, J. R., Cheung, L., Gallan, A., Orsingher, C., Witell, L., & Zaki, M. (2018) · Journal of Service Management · doi:10.1108/josm-04-2018-0113 · Cited by 849
Industry 5.0 and Human-Robot Co-working
Demir, K. A., Döven, G., & Sezen, B. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.09.104 · Cited by 746
Artificial intelligence: a survey on evolution, models, applications and future trends
Lu, Y. (2019) · Journal of Management Analytics · doi:10.1080/23270012.2019.1570365 · Cited by 641
Özdemir, V., & Hekim, N. (2018) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2017.0194 · Cited by 602
Cited by
Industry 5.0: A survey on enabling technologies and potential applications
Maddikunta, P. K. R., Pham, Q.-V., B, P., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100257 · Cited by 1,890
Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet
Mondejar, M. E., Avtar, R., Diaz, H. L. B., Dubey, R. K., Esteban, J., Gómez-Morales, A., Hallam, B., Mbungu, N. T., Okolo, C. C., Prasad, K. A., et al. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.148539 · Cited by 916
Industry 4.0 vs. Industry 5.0: Co-existence, Transition, or a Hybrid
Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2022.12.206 · Cited by 341
Edge computing for Industry 5.0: fundamental, applications and research challenges
Sharma, M., Tomar, A., & Hazra, A. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3359297 · Cited by 312
Lv, Z. (2023) · Research · doi:10.34133/research.0071 · Cited by 108
“Javaid and Haleem [29] reasoned that 5IR was the future evolution direction of the industrial field, aiming to use human creativity to collaborate with efficient and intelligent machines.”
Metadata
- Authors
- Javaid, M., & Haleem, A.
- Venue
- Journal of Industrial Integration and Management
- Publisher
- World Scientific Pub Co Pte Ltd
- Published
- 2020-09
- Volume
- 05
- Issue
- 03
- Pages
- 327-348
- ISSN
- 2424-8622 (ISSN-L)
- 2424-8630
- OpenAlex
- W3041439006
- Cited by
- 292
- References
- 93
- FWCI
- 23.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Javaid, M., & Haleem, A. (2020). Critical Components of Industry 5.0 Towards a Successful Adoption in the Field of Manufacturing. Journal of Industrial Integration and Management. https://doi.org/10.1142/s2424862220500141
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