Artificial intelligence in manufacturing : enabling intelligent, flexible and cost-effective production through AI /
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)...
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| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer,
2024.
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| Online Access: | CONNECT |
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| 245 | 0 | 0 | |a Artificial intelligence in manufacturing : |b enabling intelligent, flexible and cost-effective production through AI / |c John Soldatos, editor. |
| 264 | 1 | |a Cham : |b Springer, |c 2024. | |
| 300 | |a 1 online resource (xxvii, 505 pages) : |b illustrations (some color) | ||
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| 505 | 0 | |a Introduction -- Part I Architectures and Knowledge Modelling for AI in Manufacturing -- Reference Architecture for AI-based Industry 5.0 Applications -- Designing a Marketplace to Exchange AI Models for Industry 4.0 -- Domain Ontology Enrichment through Human-AI Interaction -- Survey of Knowledge Graphs in Industrial Settings -- From Knowledge to Wisdom: Leveraging Semantic Representations via Knowledge Graph Embeddings -- Advancing high value-added networked production through Decentralized Technical Intelligence -- Part II AI-based Digital Twins for Manufacturing Applications -- Digital-Twin enabled framework for training and deploying AI agents for production scheduling -- Digital Twin for Human Machine Interaction -- Learning-based Collaborative Digital Twins -- A Manufacturing Digital Twin Framework -- Part III Agent based Approaches for AI in Manufacturing -- Reinforcement Learning based approaches in manufacturing environments -- A participatory modelling approach to Agents in Industry using AAS -- 4.0 Holonic Multi-Agent Testbed Enabling Shared Production -- Application of a Multi agent system on production and scheduling optimization -- Integrating Knowledge to Conversational Agents for Worker Upskilling -- Part IV Trusted AI for Industry 5.0 Applications -- Wearable sensor-based human activity recognition for worker safety in manufacturing line -- Object detection for human-robot interaction and worker assistance systems -- Application of autoML, XAI and differential privacy method into manufacturing -- Anomaly Detection in Manufacturing -- Towards Industry 5.0 by incorporation of Trustworthy and Human-Centric approaches -- How AI changes human roles in Industry 5.0-enabled environments: Human in the AI loop via xAI and Active Learning for Manufacturing Quality Control -- Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0 -- Conclusion. | |
| 520 | |a 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. | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed February 21, 2024). | |
| 500 | |a EBSCO eBook Open Access (OA) Collection |5 TMurS | ||
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 0 | |a Manufacturing processes |x Data processing. | |
| 650 | 0 | |a Telecommunication. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Blockchains (Databases) | |
| 650 | 0 | |a Business information services. | |
| 700 | 1 | |a Soldatos, John, |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjyBrHhTg9rd7QVdMWqhHC | |
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| 952 | f | f | |a Middle Tennessee State University |b Main |c James E. Walker Library |d Electronic Resources |t 0 |e TA347.A78 |h Library of Congress classification |
