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        Artificial Intelligence in Manufacturing

        Enabling Intelligent, Flexible and Cost-Effective Production Through AI

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        Contributor(s)
        Soldatos, John (editor)
        Language
        English
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        Abstract
        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.
        URI
        https://library.oapen.org/handle/20.500.12657/87623
        Keywords
        Industry 4.0; Industry 5.0; Reinforcement Learning; Intelligent Agents; Explainable AI
        DOI
        10.1007/978-3-031-46452-2
        ISBN
        9783031464522, 9783031464522, 9783031464515
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2024
        Imprint
        Springer Nature Switzerland
        Classification
        Communications engineering / telecommunications
        Artificial intelligence
        Databases
        Computing and Information Technology
        Business mathematics and systems
        Pages
        505
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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