Artificial intelligence in manufacturing : enabling intelligent, flexible and cost-effective production through AI /
John Soldatos, editor.
- 1 online resource (xxvii, 505 pages) : illustrations (some color)
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
9783031464515 9783031464522 3031464524
10.1007/978-3-031-46452-2 doi
Artificial intelligence--Industrial applications.
Manufacturing processes--Data processing.
Telecommunication.
Artificial intelligence.
Blockchains (Databases)
Business information services.
Electronic books.
TA347.A78
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
9783031464515 9783031464522 3031464524
10.1007/978-3-031-46452-2 doi
Artificial intelligence--Industrial applications.
Manufacturing processes--Data processing.
Telecommunication.
Artificial intelligence.
Blockchains (Databases)
Business information services.
Electronic books.
TA347.A78