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024 7 _a10.1007/978-3-031-68271-1
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072 7 _aTGP
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245 1 0 _aIndustry 4.0 Driven Manufacturing Technologies
_h[electronic resource] /
_cedited by Ajay Kumar, Parveen Kumar, Yang Liu.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXI, 434 p. 144 illus., 130 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
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338 _aonline resource
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490 1 _aSpringer Series in Advanced Manufacturing,
_x2196-1735
505 0 _aIndustry 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 _aThis 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. .
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 0 _aArtificial intelligence.
_958441
650 0 _aInternet of things.
_958845
650 0 _aUser interfaces (Computer systems).
_964688
650 0 _aHuman-computer interaction.
_964854
650 0 _aComputational intelligence.
_964052
650 1 4 _aIndustrial and Production Engineering.
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aInternet of Things.
_958845
650 2 4 _aUser Interfaces and Human Computer Interaction.
_966577
650 2 4 _aComputational Intelligence.
_964052
700 1 _aKumar, Ajay.
_eeditor.
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700 1 _aKumar, Parveen.
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700 1 _aLiu, Yang.
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aSpringer Series in Advanced Manufacturing,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-68271-1
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