The integration of artificial intelligence (AI) and machine learning into Industry 4.0 has revolutionized manufacturing by introducing advanced predictive and optimization capabilities. These technologies analyze vast amounts of data to foresee potential challenges, make informed decisions, and enhance overall efficiency. Predictive maintenance is a standout feature, allowing machines to monitor themselves and anticipate faults or breakdowns before they occur. This minimizes downtime, reduces repair costs, and extends equipment lifespan. Real-time decision-making is another advantage, where AI systems continuously evaluate production processes, optimizing resource usage and reducing waste. In terms of quality control, machine learning excels in detecting product defects early in the production line through advanced pattern recognition and computer vision systems. This ensures consistency and high standards in manufacturing outputs. Additionally, AI enables the concept of "smart factories," where interconnected systems communicate seamlessly, adapt to changes, and enhance productivity through automation. Supply chains also benefit greatly, as AI-powered tools provide dynamic modeling and forecasting capabilities. They help manufacturers adapt to market fluctuations and ensure smoother operations. Furthermore, collaborative robots, or cobots, work safely alongside humans, performing repetitive or labor-intensive tasks while freeing human operators to focus on innovation and problem-solving. Together, these innovations create a flexible, efficient, and adaptive manufacturing environment, reshaping industries to meet modern demands while fostering sustainability and progress.

This is state-of-the-art literature review on the concept of AgentAI and its applications to Industry 4.0...

AgentAI: A Comprehensive Survey on Autonomous Agents in Distributed AI for Industry 4.0

Article AgentAI: A Comprehensive Survey on Autonomous Agents in Dist...