04484nam a22006375i 4500 978-3-031-68271-1 DE-He213 20251030113040.0 cr nn 008mamaa 240913s2024 sz | s |||| 0|eng d 9783031682711 978-3-031-68271-1 10.1007/978-3-031-68271-1 doi T55.4-60.8 TGP bicssc TEC009060 bisacsh TGP thema Industry 4.0 Driven Manufacturing Technologies [electronic resource] / edited by Ajay Kumar, Parveen Kumar, Yang Liu. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXI, 434 p. 144 illus., 130 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Series in Advanced Manufacturing, 2196-1735 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. . Industrial engineering. Production engineering. Artificial intelligence. 58441 Internet of things. 58845 User interfaces (Computer systems). 64688 Human-computer interaction. 64854 Computational intelligence. 64052 Industrial and Production Engineering. Artificial Intelligence. 58441 Internet of Things. 58845 User Interfaces and Human Computer Interaction. 66577 Computational Intelligence. 64052 Kumar, Ajay. editor. (orcid)0000-0001-7306-1902 https://orcid.org/0000-0001-7306-1902 edt http://id.loc.gov/vocabulary/relators/edt 70654 Kumar, Parveen. editor. (orcid)0000-0002-2922-6228 https://orcid.org/0000-0002-2922-6228 edt http://id.loc.gov/vocabulary/relators/edt 84221 Liu, Yang. editor. (orcid)0000-0001-8006-3236 https://orcid.org/0000-0001-8006-3236 edt http://id.loc.gov/vocabulary/relators/edt 65805 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031682704 Printed edition: 9783031682728 Printed edition: 9783031682735 Springer Series in Advanced Manufacturing, 2196-1735 65855 https://doi.org/10.1007/978-3-031-68271-1 ZDB-2-ENG ZDB-2-SXE 63349 63349