Near-Edge Computing For Industry 5.0
Megha Sharma (),
Abhinav Tomar () and
Abhishek Hazra
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Megha Sharma: Netaji Subhas University of Technology Delhi
Abhinav Tomar: Netaji Subhas University of Technology Delhi
Abhishek Hazra: Indian Institute of Information Technology Sricity
A chapter in Industry 5.0, 2025, pp 505-528 from Springer
Abstract:
Abstract Industry 5.0 is a new chapter in the history of the industrial revolution, moving away from Industry 4.0’s automation-centric approach and towards a more human-centric paradigm. Industry 5.0 aims to balance machine precision and human inventiveness, encouraging human-machine collaboration. By maximising resource utilisation and minimising environmental effects, this change promotes sustainability initiatives and enables increased customisation in manufacturing. Near-edge computing, which decentralises data processing by bringing it closer to the data source, greatly reduces latency and improves response times in crucial industrial operations, a major enabler of this shift. Near-edge computing plays a vital role in realising the vision of Industry 5.0. In contrast to conventional cloud-based architectures, near-edge computing guarantees real-time decision-making. This chapter explores the function of near-edge computing. It emphasises how it can provide faster feedback loops, increase productivity, and promote human-machine collaboration in dynamic industrial environments. We look at real-world use scenarios to show how near-edge computing might help achieve Industry 5.0’s main objectives: energy-efficient production and real-time monitoring in smart factories. The chapter thoroughly reviews this developing topic and discusses possible research difficulties, future trends, and ethical considerations surrounding integrating near-edge technology in human-centric industrial systems.
Keywords: Near-edge computing; Industry 5.0; IoT; Predictive maintenance; Low latency; Autonomous system (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-87837-4_21
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DOI: 10.1007/978-3-031-87837-4_21
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