Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing
description: An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin-an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical systems behavior and performance. What…
creator: Tyagi A.K.; Tiwari S.; Arumugam S.K.; Sharma A.K.
source: Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing, pp. 1-585.
publisher: wiley
date: 2025-01-01
rights: Restricted Access
relation: ISBN: 978-139430360-1; 978-139430357-1
format: Online
language: English
type: Book
coverage: Tyagi A.K., Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India; Tiwari S., School of Computing Science and Engineering (SCSE), Galgotias University, Uttar Pradesh, Greater Noida, India; Arumugam S.K., Department of Professional Studies, Christ University, Bengaluru, India; Sharma A.K., Dept. of Computer Science and Engineering, Sharda University, Greater Noida, India