Artificial Intelligence in Manufacturing : Enabling Intelligent, Flexible and Cost-Effective Production Through AI

Springer
SKU:
9783031464546
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ISBN13:
9783031464546
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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.


  • | 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