Edge-computing-assisted intelligent control of industrial manufacturing processes
Kallur V VIJAYAKUMAR, Potnuri SURIBABU, S. PRABHU, Abraham S, C. VIJAI Buvsara TASHMURADOVA
Abstract. The fast development of Industry 4.0 has also resulted in the introduction of new digital technologies into manufacturing systems, which allow intelligent and autonomous work. One of these technologies is edge computing which has become a major enforcer of real-time data processing and low-latency decision-making. This paper is a complete discussion of intelligent control of industrial manufacturing processes with the help of edge-computing. The suggested framework combines edge devices, artificial intelligence (AI), and Industrial Internet of Things (IIoT) to facilitate the real-time monitoring, predictive control, and fault detection. This paper addresses system architecture, control strategies, applications, benefits and challenges. The findings emphasize that edge-enabled intelligent control can be used to greatly increase the responsiveness of a system, decrease the latency, and increase the overall operational efficiency.
Keywords
Edge Computing, Intelligent Control, Industry 4.0, IIoT, Smart Manufacturing, Real-Time Systems
Published online 8/15/2026, 7 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Kallur V VIJAYAKUMAR, Potnuri SURIBABU, S. PRABHU, Abraham S, C. VIJAI Buvsara TASHMURADOVA, Edge-computing-assisted intelligent control of industrial manufacturing processes, Materials Research Proceedings, Vol. 71, pp 105-111, 2026
DOI: https://doi.org/10.21741/97816449042312-14
The article was published as article 14 of the book AI-Driven Innovations in Mechanical, Manufacturing, and Energy Engineering
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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