Artificial intelligence in manufacturing: enabling intelligent, flexible and cost-effective production through AI
Springer - New York
2024
505 p.
artificial intelligence ; manufacturing industry ; production cost ; industry ; automation ; future of work ; digitalisation
https://doi.org/10.1007/978-3-031-46452-2
English
Bibliogr.;Index;Ill.
"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."
Digital
ISBN (PDF) : 978-3-031-46452-2
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