Multi-Agent Systems for Distributed Control in IoT-Enabled Smart Manufacturing

This research focus on applying Multi-Agent Systems (MAS) with Internet of Things (IoT) in order to improve the distributed control for the smart manufacturing. The emphasis of the study is laid on the capability of MAS to enhance production performance and diminish time losses, as well as to develop efficient strategies regarding faults and their reporting. Besides, based on real-time data of manufacturing, an information of schedules, faults and communications of production, the study measures the result of the MAS against the conventional centralized system’s efficiency. The outcomes reveal the positive changes in production rate, time loss, and communication performance indicating the suitability of MAS to deal with the challenging and evolving nature of the manufacturing systems. This paper constitutes information to smart manufacturing research and forms a basis for research on the subject in the future.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icicat62666.2024.10923025
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.35
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Multi-Agent Systems for Distributed Control in IoT-Enabled Smart Manufacturing

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Multi-Agent Systems for Distributed Control in IoT-Enabled Smart Manufacturing

C. Gouri Sainath, S. B. Prakalya, S. Senthil Kumar, Rakesh Kumar, Laith Alzubaidi, Lahari Mekala
article en
1 citations

Abstract

This research focus on applying Multi-Agent Systems (MAS) with Internet of Things (IoT) in order to improve the distributed control for the smart manufacturing. The emphasis of the study is laid on the capability of MAS to enhance production performance and diminish time losses, as well as to develop efficient strategies regarding faults and their reporting. Besides, based on real-time data of manufacturing, an information of schedules, faults and communications of production, the study measures the result of the MAS against the conventional centralized system’s efficiency. The outcomes reveal the positive changes in production rate, time loss, and communication performance indicating the suitability of MAS to deal with the challenging and evolving nature of the manufacturing systems. This paper constitutes information to smart manufacturing research and forms a basis for research on the subject in the future.

Iraqi University (IQ), CMR University (IN), GLA University (IN), Saveetha University (IN)
Openalex Percentile: Top 30%
Digital Transformation in Industry
0.35
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