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Industry 4.0 driven manufacturing te...

Kumar, Ajay.

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Industry 4.0 driven manufacturing technologies

Record Type:	Electronic resources : Monograph/item
Title/Author:	Industry 4.0 driven manufacturing technologies/ edited by Ajay Kumar, Parveen Kumar, Yang Liu.
other author:	Kumar, Ajay.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xxi, 434 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Industry 4.0 in Manufacturing technologies: Pathways and Practices -- Chapter 2. Manufacturing 4.0 evaluation and revolution: A conceptual Framework -- Modeling the barriers in adoption of Industry 4.0 in manufacturing -- Bibliometric analysis of manufacturing techniques in context of Industry 4.0 -- Digital twin Model for advanced manufacturing systems -- Manufacturing techniques triggered by Industrial Artificial Intelligence.
Contained By:	Springer Nature eBook
Subject:	Manufacturing processes - Technological innovations. -
Online resource:	https://doi.org/10.1007/978-3-031-68271-1
ISBN:	9783031682711

Industry 4.0 driven manufacturing technologies
Industry 4.0 driven manufacturing technologies[electronic resource] /edited by Ajay Kumar, Parveen Kumar, Yang Liu. - Cham :Springer Nature Switzerland :2024. - xxi, 434 p. :ill. (chiefly color), digital ;24 cm. - Springer series in advanced manufacturing,2196-1735. - Springer series in advanced manufacturing..

Industry 4.0 in Manufacturing technologies: Pathways and Practices -- Chapter 2. Manufacturing 4.0 evaluation and revolution: A conceptual Framework -- Modeling the barriers in adoption of Industry 4.0 in manufacturing -- Bibliometric analysis of manufacturing techniques in context of Industry 4.0 -- Digital twin Model for advanced manufacturing systems -- Manufacturing techniques triggered by Industrial Artificial Intelligence.

This book is a comprehensive guide to the latest advancements in manufacturing, adopting an Industry 4.0 approach. It covers the core principles of big data informatics, digital twin technology, artificial intelligence, and machine learning strategies. Readers will gain insights into the realm of cyber-physical intelligent systems in production, the role of blockchain, and the significance of information and communication technology. With a focus on real-time monitoring and data acquisition, the book offers practical solutions for online error troubleshooting in manufacturing systems. It explores a wide range of Industry 4.0-based applied manufacturing technologies and addresses the challenges posed by the dynamic market of production. Recognizing the lack of a cohesive resource on manufacturing advancements within the context of Industry 4.0, the authors have taken the initiative to compile this valuable knowledge from domain experts. Their goal is to disseminate these insights with this book. The book will be beneficial to various stakeholders, including industries, professionals, academics, research scholars, senior graduate students, and those in the field of human healthcare. With its comprehensive coverage, the book is an important reference for technical institution libraries and a useful reader for senior graduate students.

ISBN: 9783031682711

Standard No.: 10.1007/978-3-031-68271-1doiSubjects--Topical Terms:

1001844
Manufacturing processes
--Technological innovations.

LC Class. No.: TS183

Dewey Class. No.: 670

Industry 4.0 driven manufacturing technologies
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490 1 $a Springer series in advanced manufacturing, $x 2196-1735
505 0 $a Industry 4.0 in Manufacturing technologies: Pathways and Practices -- Chapter 2. Manufacturing 4.0 evaluation and revolution: A conceptual Framework -- Modeling the barriers in adoption of Industry 4.0 in manufacturing -- Bibliometric analysis of manufacturing techniques in context of Industry 4.0 -- Digital twin Model for advanced manufacturing systems -- Manufacturing techniques triggered by Industrial Artificial Intelligence.
520 $a This book is a comprehensive guide to the latest advancements in manufacturing, adopting an Industry 4.0 approach. It covers the core principles of big data informatics, digital twin technology, artificial intelligence, and machine learning strategies. Readers will gain insights into the realm of cyber-physical intelligent systems in production, the role of blockchain, and the significance of information and communication technology. With a focus on real-time monitoring and data acquisition, the book offers practical solutions for online error troubleshooting in manufacturing systems. It explores a wide range of Industry 4.0-based applied manufacturing technologies and addresses the challenges posed by the dynamic market of production. Recognizing the lack of a cohesive resource on manufacturing advancements within the context of Industry 4.0, the authors have taken the initiative to compile this valuable knowledge from domain experts. Their goal is to disseminate these insights with this book. The book will be beneficial to various stakeholders, including industries, professionals, academics, research scholars, senior graduate students, and those in the field of human healthcare. With its comprehensive coverage, the book is an important reference for technical institution libraries and a useful reader for senior graduate students.
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