Industry 5.0: A survey on enabling technologies and potential applications
By Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, B. Prabadevi, N. Deepa, K. Dev, Thippa Reddy Gadekallu, Rukhsana Ruby, Madhusanka Liyanage. Journal of Industrial Information Integration, 2021
1,399 citations recorded by the source corpus.
Abstract Industry 5.0 is regarded as the next industrial evolution, its objective is to leverage the creativity of human experts in collaboration with efficient, intelligent and accurate machines, in order to obtain resource-efficient and user-preferred manufacturing solutions compared to Industry 4.0. Numerous promising technologies and applications are expected to assist Industry 5.0 in order to increase production and deliver customized products in a spontaneous manner. To provide a very first discussion of Industry 5.0, in this paper, we aim to provide a survey-based tutorial on potential applications and supporting technologies of Industry 5.0. We first introduce several new concepts and definitions of Industry 5.0 from the perspective of different industry practitioners and researchers. We then elaborately discuss the potential applications of Industry 5.0, such as intelligent healthcare, cloud manufacturing, supply chain management and manufacturing production. Subsequently, we discuss about some supporting technologies for Industry 5.0, such as edge computing, digital twins, collaborative robots, Internet of every things, blockchain, and 6G and beyond networks. Finally, we highlight several research challenges and open issues that should be further developed to realize Industry 5.0.
Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering, Information Systems
View Paper: https://www.semanticscholar.org/paper/1cc74c0f1dccf9593e19c5a95460b17270323f3a
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Citations in the corpus
- Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review (2022, background): “The contribution of IoT in Industry 4.0 has improved the average availability and sustainability of the enterprise by knowing market trends and decreasing unanticipated downturns [70].”