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Investigation of Aviation Sector in Industry 5.0

Investigation of Aviation Sector in Industry 5.0

G. Prasad (Chandigarh University, India)
Copyright: © 2024 |Pages: 14
DOI: 10.4018/979-8-3693-1491-3.ch006
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Abstract

Industry 5.0 concepts and technologies are increasingly being adopted in the aviation sector, revolutionizing the way aircraft are designed, manufactured, maintained, and operated. Industry 5.0 leverages digital twin technology, creating virtual replicas of physical aircraft, which can be used for real-time monitoring, testing, and design optimization. Engineers and data scientists work together to create and manage these digital twins. Robotics and automation are used for precision manufacturing and assembly processes. Collaborative robots (cobots) are employed to work alongside human technicians, ensuring safer and more efficient assembly.
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Background Of The Research

Aydn & Kahraman, (2021) analysed ion the Aviation 4.0 with theory and applications. Chen et al (2023) developed a concept for human-cyber-physical systems of future wind turbines and energy generation towards Industry 5.0. Elangovan (2021) published a book on Industry 5.0 The future of the industrial economy with the developments for the change in the technology. Ghobakhloo et al (2023) proposed actions and approaches for enabling Industry 5.0‐driven sustainable industrial transformation with a strategic roadmap. Jain et al (2021) developed an unmanned aerial vehicle borne secure communication with classification framework for industry 5.0. Javaid & Haleem (2020) conducted a study on critical components of Industry 5.0 towards a successful adoption in the field of manufacturing.

Jafari et al (2022) studied the transformation from Moving Industry 4.0 to Industry 5.0 with respect to the implications for smart logistics. Kavya et al (2022) analysed the influence of Artificial Intelligence, Machine Learning, and Internet of Drones in Medical Applications. Massaro (2021) conducted a research on Advanced Industries: Industry 4.0 to Industry 5.0 Advances. Prasad et al (2023) studied the influence of Machine Learning Technique in Unmanned Aerial Vehicle. Prasad, G. (2023) analysed the Internet of Unmanned Aerial Vehicle (IOU) in Industry 5.0. Sharma & Arya(2022) conducted UAV based long range environment monitoring system with Industry 5.0 perspectives for smart city infrastructure. Thakur & Sehgal (2021) developed an emerging architecture for heterogeneous smart cyber-physical systems for industry 5.0. Zhang et al (2023) studied about new-generation human-centric smart manufacturing in Industry 5.0.

Figure 1.

IOT in aviation industry

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