Kumar, Ajay. editor. edt http://id.loc.gov/vocabulary/relators/edt Kumar, Parveen. editor. edt http://id.loc.gov/vocabulary/relators/edt Liu, Yang. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XXI, 434 p. 144 illus., 130 illus. in color. online resource. 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. . 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. edited by Ajay Kumar, Parveen Kumar, Yang Liu. Industrial engineering Production engineering Artificial intelligence Internet of things User interfaces (Computer systems) Human-computer interaction Computational intelligence Industrial and Production Engineering Artificial Intelligence Internet of Things User Interfaces and Human Computer Interaction Computational Intelligence T55.4-60.8 9783031682711 https://doi.org/10.1007/978-3-031-68271-1 https://doi.org/10.1007/978-3-031-68271-1 240913 20251030113040.0 978-3-031-68271-1