作者
Prof.Bankhele Nita B.,Bhujbal Bhumika B.,Dangat Sakshi H.,Tamboli Sahil K.
摘要
Abstract - The fast growth of the Internet of Things (IoT) and Industry 4.0 technologies has greatly changed the manufacturing industry, making smart manufacturing possible. Industry 4.0 refers to the use of advanced tools such as IoT, artificial intelligence (AI), cloud platforms, and big data analytics to build a highly connected and automated production environment. This paper explores the current progress of IoT-based smart manufacturing, outlining its challenges, opportunities, and expected future developments. It reviews the main components that support Industry 4.0, including IoT sensors and devices, cloud computing, data analytics, and cyber security systems. The study also discusses the major benefits of Industry 4.0, such as improved efficiency, better product quality, cost reduction, and lower levels of waste. This shift from traditional manufacturing to modern automated systems is driven by the integration of technologies like AI, cyber-physical systems, and real-time data processing. However, the transition also introduces several challenges, including issues with integrating different technologies, concerns about data privacy and security, and the need for workforce training and skill development. Overall, the paper highlights how Industry 4.0 can support real-time monitoring, predictive capabilities, and smarter decision-making in manufacturing environments.