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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Bibliographic Details
Other Authors: Soldatos, John (Editor)
Format: eBook
Published: Cham Springer Nature Switzerland 2024, 2024
Edition:1st ed. 2024
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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