Artificial Intelligence in Manufacturing Artificial Intelligence in Manufacturing

Artificial Intelligence in Manufacturing

Enabling Intelligent, Flexible and Cost-Effective Production Through AI

    • 4.0 • 1 calificación

Descripción editorial

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.

GÉNERO
Técnicos y profesionales
PUBLICADO
2024
8 de febrero
IDIOMA
EN
Inglés
EXTENSIÓN
532
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
56.6
MB

Reseñas de clientes

yuryanhe ,

Large Volume of Good Information

Artificial Intelligence in Manufacturing not only caters its reader with rich background information on both the emerging technology, artificial intelligence, and the traditional business of manufacturing. It not only mapped out the evolving artificial intelligence but also its applications on bringing manufacturing into the next level. The authors also provided many industrial use cases and evaluated each to include prospects and challenges.

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