Abstract
Industry 4.0 has been provided for the last 10 years to benefit the industry and the shortcomings; finally, the time for industry 5.0 has arrived. Smart factories are increasing the business productivity; therefore, industry 4.0 has limitations. In this paper, there is a discussion of the industry 5.0 opportunities as well as limitations and the future research prospects. Industry 5.0 is changing paradigm and brings the resolution since it will decrease emphasis on the technology and assume that the potential for progress is based on collaboration among the humans and machines. The industrial revolution is improving customer satisfaction by utilizing personalized products. In modern business with the paid technological developments, industry 5.0 is required for gaining competitive advantages as well as economic growth for the factory. The paper is aimed to analyze the potential applications of industry 5.0. At first, there is a discussion of the definitions of industry 5.0 and advanced technologies required in this industry revolution. There is also discussion of the applications enabled in industry 5.0 like healthcare, supply chain, production in manufacturing, cloud manufacturing, etc. The technologies discussed in this paper are big data analytics, Internet of Things, collaborative robots, Blockchain, digital twins and future 6G systems. The study also included difficulties and issues examined in this paper head to comprehend the issues caused by organizations among the robots and people in the assembly line
Keywords: Industry 5.0, Human machine collaboration, Supply chain, Disaster recovery
References
1. Longo F, Padovano A, Umbrella S. Value-oriented and ethical technology engineering in industry 5.0: a human-centric perspective for the design of the factory of the future. Appl Sci. 2020;10(12):4182. doi: 10.3390/app10124182. [CrossRef] [Google Scholar]
2. Pathak A, Kothari R, Vinoba M, Habibi N, Tyagi VV. Fungal bioleaching of metals from refinery spent catalysts: a critical review of current research, challenges, and future directions. J Environ Manag. 2021;80:111789. doi: 10.1016/j.jenvman.2020.111789. [PubMed] [CrossRef] [Google Scholar]
3. He D, Ma M, Zeadally S, Kumar N, Liang K. Certificateless public key authenticated encryption with keyword search for industrial internet of things. IEEE Trans Ind Inf. 2017;14(8):3618–3627. doi: 10.1109/TII.2017.2771382. [CrossRef] [Google Scholar]
4. Leone LA, Fleischhacker S, Anderson-Steeves B, Harpe K, Winkler M, Racin E, Baquero B, Gittelsohn J. Healthy food retail during the COVID-19 pandemic: challenges and future directions. Int J Environ Res Public Health. 2020;17(20):7397. doi: 10.3390/ijerph17207397. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
5. Majumdar A, Garg H, Jain R. Managing the barriers of industry 4.0 adoption and implementation in textile and clothing industry: interpretive structural model and triple helix framework. Comput Ind. 2021;125:103372. doi: 10.1016/j.compind.2020.103372. [CrossRef] [Google Scholar]
6. Angelopoulos A, Michailidis ET, Nomikos N, Trakadas P, Hatziefremidis A, Voliotis S, Zahariadis T. Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects. Sensors. 2020;20(1):109. doi: 10.3390/s20010109. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
7. Nahavandi S. Industry 5.0—a human-centric solution. Sustainability. 2019;11(16):4371. doi: 10.3390/su11164371. [CrossRef] [Google Scholar]
8. Javaid M, Haleem A. Critical components of industry 5.0 towards a successful adoption in the field of manufacturing. J Industr Integr Manag. 2020;5(03):327–348. doi: 10.1142/S2424862220500141. [CrossRef] [Google Scholar]
9. Deepa N, Pham QV, Nguyen DC, Bhattacharya S, Prabadevi B, Gadekallu TR, ..., Pathirana PN (2022) A survey on blockchain for big data: approaches, opportunities, and future directions. Future Generation Computer Systems