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Computer Modeling for Industry 5.0: Theory, Applications, and Technological Development

Submission Deadline: 30 June 2023 (closed)

Guest Editors

Dr. Ahmed Farouk, South Valley University, Egypt.
Prof. Shahid Mumtaz, University de Aveiro, Portugal.
Dr. Heena Rathore, University of Essex, UK.

Summary

Recent advancements in technology are focusing on personalization to enhance user experience, product uniqueness, and meet special requirements. Although Industry 4.0 empowered mass customization, the effort was not adequate to satisfy the personalization demands for different verticals. The fifth industrial revolution, i.e., Industry 5.0, significantly focuses on improving personalization integrated into the industrial environment where the customized prerequisite of clients can be satisfied. This industrial revolution relies on human-machine interaction to move from mass customization to mass personalization. Robots have immensely contributed to the field of automated work stacking, dumping, painting, welding, and so forth. Industry 5.0 takes a further leap by interconnecting machines to increase productivity along with improved human efficiency.

 

With the common goal of achieving mass personalization, the combination of industry 5.0 and scientific programming methods can provide new innovations. One of the key characteristics of industry 5.0 is the use of collaborative robots. Human collaboration with robots presents several challenges including adaptability, decision making, and robustness. A recent survey suggests that the annual growth rate for the collaborative robots sector will increase by 60% and become a 12-billion-dollar industry in less than ten years. In this regard, the challenges of collaborative robots using computer modeling-based methods need to be addressed to realize the concept of Industry 5.0. With the integration of scientific programming methods, Industry 5.0 will penetrate diverse industrial sectors/verticals including gaming, healthcare, supply chain management, automotive, telecommunication, virtual reality, smart society, and energy systems for providing improved personalized and economical services.

 

Potential topics include but are not limited to the following:

• Computer vision, fuzzy systems, IoT, and meta-heuristics-based computer modeling for Industry 5.0

• Computer modeling for wireless computing applications in advancing Industry 5.0

• Computer modeling for collaborative robots in Industry 5.0

• Computer modeling for healthcare in industry 5.0

• Advanced machine learning techniques for scientific programming in Industry 5.0

• Novel or improved nature-inspired computer modeling and optimization algorithms in enhancing Industry 5.0

• Computer modeling for manufacturing in Industry 5.0

• Computer modeling for supply chain management in Industry 5.0

• Computer modeling for sustainable and communication networks for Industry 5.0

• Computer modeling for automotive in Industry 5.0



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