A Comprehensive Review of Industry 4.0 Technologies in Modern Manufacturing Systems
Manish T. Shete, Alokkumar A. Uplap
Volume 6: Issue 4, Dec 2019, pp 140-150
Author's Information
Manish T. Shete1
Corresponding Author
1Assistant Professor, Department of Mechanical Engineering, Government College of Engineering, Nagpur
mtshete82@gmail.com
Alokkumar A. Uplap2
2Assistant Professor, Department of Mechanical Engineering, Government College of Engineering, Nagpur
Abstract:-
The rapid advancement of digital technologies has led to a paradigm shift in manufacturing systems, giving rise to the concept of Industry 4.0. This transformation emphasizes the integration of intelligent technologies to achieve enhanced efficiency, flexibility, and productivity in modern manufacturing environments. The primary objective of this review paper is to provide a comprehensive analysis of key Industry 4.0 technologies and their role in reshaping manufacturing systems. The study focuses on core technologies, including the Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML), Digital Twin, Additive Manufacturing, and Robotics and Automation. A systematic literature review methodology has been adopted by analyzing recent research articles from major scientific databases. The findings indicate that the implementation of these technologies significantly improves real-time monitoring, predictive maintenance, process optimization, and decision-making capabilities in manufacturing industries. However, challenges such as high implementation cost, cybersecurity risks, and integration complexity remain critical concerns. This paper contributes by presenting a structured overview of Industry 4.0 technologies, along with a comparative understanding of their advantages and limitations, thereby assisting researchers and practitioners in identifying suitable approaches for smart manufacturing adoption.Index Terms:-
Industry 4.0, Smart Manufacturing, Internet of Things, Artificial Intelligence, Digital Twin, Additive Manufacturing, Robotics and AutomationREFERENCES
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