Artificial intelligence in manufacturing : enabling intelligent, flexible and cost-effective production through AI / John Soldatos, editor.
Contributor(s): Soldatos, John [editor.]
Language: English Publisher: Cham : Springer, 2024Description: 1 online resource (xxvii, 505 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9783031464515; 9783031464522; 3031464524Subject(s): Artificial intelligence -- Industrial applications | Manufacturing processes -- Data processing | Telecommunication | Artificial intelligence | Blockchains (Databases) | Business information servicesGenre/Form: Electronic books.DDC classification: LOC classification: TA347.A78Online resources: Full text is available at the Directory of Open Access Books. Click here to view. Summary: This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers' training, supply chain management, as well as various production optimization scenarios. This is an open access book.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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EBOOK/OPEN ACCESS
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COLLEGE LIBRARY | COLLEGE LIBRARY | Not for loan |
Includes index.
This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers' training, supply chain management, as well as various production optimization scenarios. This is an open access book.
Creative Commons Attribution 4.0 International CC BY 4.0
http://creativecommons.org/licenses/by/4.0/
Online resource; title from PDF title page (SpringerLink, viewed February 21, 2024).
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