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Industry 4.0 and Smart Manufacturing: Exploring the integration of advanced technologies in manufacturing

Sheetal Solanki

2023 · DOI: 10.31305/rrijm2023.v03.n02.005
Revista Review Index Journal of Multidisciplinary · 11 Citations

TLDR

This study explores the seamless integration of advanced technologies, including the Internet of Things, artificial intelligence (AI), and data analytics, in manufacturing processes to enhance efficiency, productivity, and decision-making.

Abstract

Industry 4.0 and Smart Manufacturing represent a paradigm shift in the manufacturing landscape, driven by the integration of cutting-edge technologies. This study explores the seamless integration of advanced technologies, including the Internet of Things (IoT), artificial intelligence (AI), and data analytics, in manufacturing processes to enhance efficiency, productivity, and decision-making. By connecting physical and digital systems, Industry 4.0 enables real-time data exchange and intelligent decision-making, leading to optimized production processes and resource utilization. The implementation of IoT devices and sensors empowers predictive maintenance, quality control, and enhanced visibility across the supply chain. Additionally, AI-driven predictive modeling and data analytics enable data-driven insights, facilitating agile decision-making and improved manufacturing performance. This investigation delves into the transformative potential of Industry 4.0 and Smart Manufacturing, offering valuable insights into the future of manufacturing industries.