Artificial Intelligence in Manufacturing : Enabling Intelligent, Flexible and Cost-Effective Production Through AI
Springer
ISBN13:
9783031464546
$56.30
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.
- | Author: John Soldatos
- | Publisher: Springer
- | Publication Date: Feb 09, 2024
- | Number of Pages: NA pages
- | Language: English
- | Binding: Paperback
- | ISBN-10: 3031464540
- | ISBN-13: 9783031464546
- Author:
- Wenchang Li, Guitang Pan, Zengqian Hou, Xuanxue Mo, Liquan Wang, Xiangfei Zhang
- Publisher:
- Springer
- Publication Date:
- Aug 25, 2023
- Number of pages:
- NA pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 9819936543
- ISBN-13:
- 9789819936540