Artificial Intelligence in Manufacturing : : Enabling Intelligent, Flexible and Cost-Effective Production Through AI / / edited by John Soldatos.

• HerausgeberIn: Soldatos, John.
• Place / Publishing House: Cham : : Springer Nature Switzerland :, Imprint: Springer,, 2024.
• Year of Publication: 2024
• Edition: 1st ed. 2024.
• Language: English
• Physical Description: 1 online resource (XXVII, 505 p. 175 illus., 153 illus. in color.)
• ISBN: 3031464524
• Access: Open Access
• Hierarchical level: Monograph
• Statement of Responsibility: edited by John Soldatos.

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.