Smart factories and IoT transforming manufacturing with connected devices and real-time data

Authors

  • S. Prathap Singh Assistant Professor

Keywords:

Smart Factories, Predictive Maintenance, Real-time Data, Machine Learning, Production Efficiency, Industrial Automation

Abstract

The document discusses the transformative impact of IoT on manufacturing, focusing on smart factories characterized by connected devices and real-time data analytics. IoT technologies, including sensors and actuators, have enabled advancements in predictive maintenance, production efficiency, and decision-making processes through integration with AI and machine learning. Cyber-physical systems and advanced communication technologies such as 5G and LPWAN have facilitated seamless device synchronization and data processing. The research highlights predictive maintenance's role in minimizing downtime and production inefficiencies, alongside detailed analysis using visualizations and correlation metrics. The document emphasizes IoT's potential to optimize operations, reduce waste, and enhance sustainability.

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Published

2025-01-18