21Digital Twin-Enabled Smart Manufacturing: Challenges and Future Directions
M. Maranco1, M. Sivakumar1*, N. Krishnaraj1, Kashyapa Abhiram Ivaturi1 and Nidhya R.2
1Department of Networking and Communications, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
2Department of Computer Science and Engineering, Madanapalle Institute of Technology, Madanapalle, Andhra Pradesh, India
Abstract
Digital twin technology represents a revolutionary leap forward in smart manufacturing, fundamentally reshaping traditional methodologies with its transformative capabilities. Digital twins are virtual counterparts that accurately simulate physical assets and processes, acting as a dynamic bridge between the tangible world of machinery and the digital domain of data analytics and simulation. Through the amalgamation of cutting-edge technologies like IoT sensors, AI algorithms, and simulation software, digital twins empower manufacturers with unparalleled insights and control over their operations. A pivotal advantage of digital twins lies in their ability to facilitate predictive maintenance, a cornerstone of contemporary manufacturing practices. Through the ongoing monitoring of equipment performance and condition in real time, manufacturers are able to predict maintenance requirements, proactively resolve problems, and prevent expensive periods of inactivity. This proactive approach represents a notable departure from traditional ...
Get Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
