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Design and Strategies Related to Smart Manufacturing System Development Using IoT
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Author(s): Lakshya Pandey (VIT Bhopal University, India), Spandan Agrawal (VIT Bhopal University, India)and D. Lakshmi (VIT Bhopal University, India)
Copyright: 2025
Pages: 22
Source title:
Using Computational Intelligence for Sustainable Manufacturing of Advanced Materials
Source Author(s)/Editor(s): Kamalakanta Muduli (Papua New Guinea University of Technology, Papua New Guinea), Bikash Ranjan Moharana (Papua New Guinea University of Technology, Papua New Guinea), Steve Korakan Ales (Papua New Guinea University of Technology, Papua New Guinea)and Dillip Kumar Biswal (Aryan Institute of Engineering and Technology, Bhubaneswar, India)
DOI: 10.4018/979-8-3693-7974-5.ch020
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Abstract
The realm of manufacturing is shifting towards intelligent manufacturing systems, emphasizing Industry 4.0, and integrating digital and physical environments using IoT, cloud systems, data analysis, and Machine Learning (ML). Smart devices and sensors gather data for various applications, which are then transmitted to the cloud for analysis. Cloud systems, powered by AI and ML, provide valuable insights. The latest inventory management technology uses automation and robotics for real-time monitoring, while MEMS are miniature sensors that detect changes. The text below discusses the diverse applications of IoT sensors such as accelerometers, microphones, gyroscopes, inkjet printer heads, and blood pressure sensors. The text discusses how IoT has revolutionized healthcare, agriculture, smart cities, manufacturing, retail, logistics, and energy. It highlights the role of IoT sensors in real-time monitoring, disease management, crop yield maximization, and enhanced safety measures. When integrated with intelligent manufacturing, it improves efficiency, safety, and sustainability.
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