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.
Abstract
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.
The research paper presents a Digital Twin architecture powered by AI for improving production processes in manufacturing environments with Industry 4.0 technology that integrates IoT-enabled data collection, machine learning algorithms, forecasting technologies, simulating, and intelligent decision-making levels with...
Virendra Gomase· Journal of Intelligent Decis...· 0 citations
This paper introduces an extended outline of the AI-based decision-making in manufacturing facilities with the application of real-time sensor data, machine learning, and adaptive control and puts emphasis on the possibilities of AI-powered systems to reach Industry 4.0 goals.
Davinder Singh· Materials Research Proceedin...· 0 citations
This special issue aims to demonstrate how AI can overcome existing limitations in time-critical computing systems and applications, and to advance the state of the art in AI techniques for these systems.
Long Cheng, Xiaomin Chen, Zhiming Zhao· 0 citations
A cyber-physical architecture based on the IoT, which uses machine intelligence to monitor, analyze, and control manufacturing systems in real-time, which can be both scaled and powerful to serve next-generation intelligent manufacturing systems.
P. Mudholkar· Materials Research Proceedin...· 0 citations
This study examines the impact of Industry 4.0 technologies on manufacturing operations at Qualcomm India Private Limited by analyzing employee awareness, technology adoption, production efficiency, automation, product quality, operational performance, and employee satisfaction.
P. Dhanalakshmi, V. Kumar, Srilekha Rageru· 0 citations
As the global manufacturing industry accelerates its digital and intelligent transformation, the deep integration of Artificial Intelligence (AI) with the Internet of Things (IoT) is emerging as a central driver behind the evolution of smart manufacturing systems. This paper provides a comprehensive review of the techn...
Xuan-Yi Chen· Applied and Computational En...· 0 citations
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