Artificial Intelligence in Manufacturing

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.

Provides comprehensive coverage of artificial intelligence technologies and of their use cases in manufacturing Presents architectures and advanced knowledge models for human robot collaboration, along with solutions based on intelligent agents Illustrates both Industry 4.0 and Industry 5.0 AI solutions based on a unique combination of novel cyber-physical production systems and of a rich set of trustworthy human-centred systems This book is open access, which means that you have free and unlimited access

Autorentext
John Soldatos holds a PhD in Electrical & Computer Engineering from the National Technical University of Athens (2000) and is currently Honorary Research Fellow at the University of Glasgow, UK (2014-present). He was Associate Professor and Head of the Internet of Things (IoT) Group at the Athens Information Technology (AIT), Greece (2006-2019), and Adjunct Professor at the Carnegie Mellon University, Pittsburgh, PA (2007-2010). He has significant experience in working closely with large multi-national industries (IBM Hellas, INTRACOM S.A, INTRASOFT International S.A, Netcompany-Intrasoft S.A) as R&D consultant and delivery specialist, while being scientific advisor to high-tech startup enterprises. Dr. Soldatos is an expert in Internet-of-Things (IoT) and Artificial Intelligence (AI) technologies and applications, including applications in smart cities, finance (Finance 4.0), and industry (Industry 4.0 / Industry5.0). Dr. Soldatos has had a leading role in the successful delivery of more than seventy (commercial-industrial, research, and business consulting) projects, for both private & public sector organizations, including complex integrated projects. He is co-founder of the open-source platform OpenIoT. He has published more than 200 articles in international journals, books, and conference proceedings. He has also significant academic teaching experience, along with experience in executive education and corporate training. Dr. Soldatos is regular speaker in international conferences, as well as contributor to various international magazines and blogs, on topics related to Artificial Intelligence, IoT, Industry 4.0, Industry 5.0, and cybersecurity. Moreover, he has received national and international recognition through various appointments in standardization working groups, expert groups, and various boards. He has recently coedited and coauthored eight edited volumes (books) on Artificial Intelligence, Internet of Things, and Cybersecurity related themes.

Inhalt

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.