Synopsis
The manufacturing industry is facing significant challenges as it grapples with the need to adapt to changing customer expectations and embrace emerging technologies. Manufacturers globally were making some progress in digital transformation before the pandemic hit, but the disruptions caused by the global crisis have highlighted the urgent need for innovation and resilience. There is a growing gap between traditional manufacturing practices and the demands of the digital age, necessitating a shift towards technology-driven approaches. Emerging Technologies and Digital Transformation in the Manufacturing Industry offers a comprehensive solution to the challenges faced by manufacturers. Edited by esteemed academic scholars, this book brings together a collection of high-quality chapters that delve into the manufacturing process from a technology-driven perspective. By exploring the use of Internet-connected machinery, artificial intelligence, sensors, and other emerging technologies, the book presents practical approaches that can lead to increased efficiency, productivity, and overall better performance. The book addresses key topics such as machine learning, blockchain technologies, big data, and the Industrial Internet of Things (IIoT), among others. It also delves into transformative concepts like digital twins, extended reality, and the impact of 5G and edge computing. With its wide-ranging coverage and authoritative contributors, this book serves as a vital resource for graduate and undergraduate students, researchers, and IT employees working in manufacturing plants. By providing insights and practical guidance, it equips readers with the knowledge needed to navigate the complexities of digital transformation in manufacturing and seize the opportunities presented by emerging technologies. Emerging Technologies and Digital Transformation in the Manufacturing Industry offers a timely and relevant solution to the pressing challenges faced by the manufacturing industry. By bridging the gap between traditional manufacturing and intelligent manufacturing, the book helps manufacturers adapt and thrive in the digital age. With its academic rigor and practical applicability, this book is poised to make a significant impact on the manufacturing IT community and academic scholars worldwide. Whether you are a student, researcher, or IT professional, this book provides the necessary insights and tools to navigate the digital transformation journey and embrace emerging technologies for a more efficient and resilient manufacturing future.
About the Authors
Fernando Ortiz-Rodriguez is a full professor at Tamaulipas Autonomous University, a Member of National Research Council level C, and director of the Social Research Centre at UAT, Mexico. He is a member of the Information Technology research group and part of the Knowledge Graph and Semantic Web Community. He had published, Journal Articles, Book Chapters, and as a book editor from reputed editorials as Springer and Elsevier. Also, he had presented many conference articles in Europe, the United States, and Mexico. Main chair and organizer of KGSWC multi-series conference.
Sanju Mishra Tiwari has worked as a Research Associate for a sponsored research project "Intelligent Real time Situation Awareness and Decision Support System for Indian Defense" funded by DRDO in Department of Computer Applications, National Institute of Technology, Kurukshetra. Her current research interests include Knowledge Based Systems, Ontologism, Intelligent Decision Support, Semantic/ Intelligent Query Search Engines, Intrusion Detection, Swarm Intelligence. She has to-date published 19 research papers one 1 book chapter with international and national publishers. She has 10 years experience in teaching field and 2 years for research field for developing ontologies. She is the member of IEEE. She is working as an organizing committee member of MIR Labs, USA.
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