A Comprehensive Study on the Integration of Artificial Intelligence with Internet of Things for Smart Manufacturing Systems

Abstract

The advent of the Internet of Things (IoT) and Artificial Intelligence (AI) has created new opportunities in various industries, particularly in smart manufacturing systems. These technologies are enabling the automation, optimization, and real-time monitoring of manufacturing processes, leading to increased efficiency, reduced costs, and enhanced decision-making capabilities. This paper explores the integration of AI with IoT in the context of smart manufacturing. We present a detailed analysis of how AI-driven technologies, such as machine learning, deep learning, and neural networks, can enhance IoT-based systems to improve production efficiency, predictive maintenance, and quality control. A comprehensive review of existing literature on this integration is provided, along with an in-depth methodology and framework for implementing AI in IoT-based smart manufacturing systems. The paper also presents simulation results and comparisons of AI-enhanced IoT systems with traditional manufacturing systems. The findings demonstrate the significant benefits of integrating AI with IoT, including improved system performance and real-time decision-making capabilities.