Artificial intelligence in manufacturing enabling intelligent, flexible and cost-effective production through AI
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...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2024
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| Schlagworte: |
Artificial intelligence
> COMPUTERS / Artificial Intelligence
> Fertigungstechnik und Ingenieurwesen
> Industrial chemistry & manufacturing technologies
> Industrielle Chemie und Fertigungstechnologien
> Künstliche Intelligenz
> Production engineering
> SCIENCE / Chemistry / Industrial & Technical
> TECHNOLOGY & ENGINEERING / Industrial Engineering
> TECHNOLOGY & ENGINEERING / Manufacturing
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| Online Zugang: | Cover Inhaltsverzeichnis |
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| Zusammenfassung: | 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. 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 |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xxvii, 505 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031464515 978-3-031-46451-5 |