Artificial Intelligence in Manufacturing
Enabling Intelligent, Flexible and Cost-Effective Production Through AI
Contributor(s)
Soldatos, John (editor)
Language
EnglishAbstract
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.
Keywords
Industry 4.0; Industry 5.0; Reinforcement Learning; Intelligent Agents; Explainable AIDOI
10.1007/978-3-031-46452-2ISBN
9783031464522, 9783031464515, 9783031464522Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
Cham, 2024Imprint
Springer Nature SwitzerlandClassification
Communications engineering / telecommunications
Artificial intelligence
Databases
Computing and Information Technology
Business mathematics and systems