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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Soldatos, John (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
• Edition: 1st ed. 2024.
• Subjects: Telecommunication.; Artificial intelligence.; Big data.; Blockchains (Databases).; Business information services.; Communications Engineering, Networks.; Artificial Intelligence.; Big Data.; Blockchain.; IT in Business.
• Online Access: Link to Metadata

Summary

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.

Physical Description

XXVII, 505 p. 175 illus., 153 illus. in color. online resource.

ISBN

9783031464522

DOI

10.1007/978-3-031-46452-2

Access

Open Access