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Artificial Intelligence in Manufacturing : Enabling Intelligent, Flexible and Cost-Effective Production Through AI / edited by John Soldatos.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Telecommunication.
- Artificial intelligence.
- Big data.
- Blockchains (Databases).
- Business information services.
- Communications Engineering, Networks.
- Artificial Intelligence.
- Big Data.
- Blockchain.
- IT in Business.
- Local Subjects:
- Communications Engineering, Networks.
- Artificial Intelligence.
- Big Data.
- Blockchain.
- IT in Business.
- Physical Description:
- 1 online resource (XXVII, 505 p. 175 illus., 153 illus. in color.)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- 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.
- 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.
- ISBN:
- 3-031-46452-4
- OCLC:
- 1422831888
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