Industry 4.0 Driven Manufacturing Technologies

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 cy...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros autores: Kumar, Ajay (Editor), Kumar, Parveen (Editor), Liu, Yang (Editor)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edición:1st ed. 2024.
Series:Springer Series in Advanced Manufacturing,
Subjects:
Acceso en liña:https://doi.org/10.1007/978-3-031-68271-1
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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. . 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
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532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
650 0 |a Industrial engineering. 
650 0 |a Production engineering. 
650 0 |a Artificial intelligence. 
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650 0 |a User interfaces (Computer systems). 
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650 0 |a Computational intelligence. 
650 1 4 |a Industrial and Production Engineering. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Internet of Things. 
650 2 4 |a User Interfaces and Human Computer Interaction. 
650 2 4 |a Computational Intelligence. 
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