Artificial Intelligence in Manufacturing Enabling Intelligent, Flexible and Cost-Effective Production Through AI
Material type:
TextLanguage: English Publication details: Cham Springer Nature 2024Description: 1 online resource (505 p.)Content type: - text
- computer
- online resource
- 978-3-031-46452-2
- 9783031464515
- 9783031464522
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E-Book
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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.
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