Advances in Manufacturing V
Volume 2 - Production Engineering: Factory of the Future
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Beschreibung
This book reports on research findings and technologies supporting the paradigm shift toward the Factory of the Future. Gathering peer-review contributions to the 9th International Scientific-Technical Conference MANUFACTURING 2026, held on May 19-21, 2026, in Poznan, Poland, it covers advances in digital twins and virtual engineering, artificial intelligence applications in engineering design and management and advances in additive manufacturing technologies. It also discusses novel production monitoring systems, and strategies for operational excellence and logistics aimed at improving human-robot collaboration and/or fostering sustainable distribution networks. Offering a timely, practice-oriented reference guide for both researchers and practitioners in manufacturing, this book is also intended to bridge the gap between university and industry, fostering a closer communication and cooperation between them.
This book reports on research findings and technologies supporting the paradigm shift toward the Factory of the Future. Gathering peer-review contributions to the 9th International Scientific-Technical Conference MANUFACTURING 2026, held on May 19-21, 2026, in Poznan, Poland, it covers advances in digital twins and virtual engineering, artificial intelligence applications in engineering design and management and advances in additive manufacturing technologies. It also discusses novel production monitoring systems, and strategies for operational excellence and logistics aimed at improving human-robot collaboration and/or fostering sustainable distribution networks. Offering a timely, practice-oriented reference guide for both researchers and practitioners in manufacturing, this book is also intended to bridge the gap between university and industry, fostering a closer communication and cooperation between them.
Reports on methods and tools for increasing the efficiency of production processes Covers artificial intelligence technologies and digitalization strategies Describes the use of mixed reality in manufacturing and for training/education purposes
Autor*in
Justyna Trojanowska
Themen in »Advances in Manufacturing V«
Smart Manufacturing Systems Cyber-physical Production Systems Digital Twins in Manufacturing AI-driven Production Optimization Autonomous Production Systems Predictive Maintenance Real-time Production Monitoring Integration of IT and OT Data-driven Decision Making Adaptive Production Planning Explanaible AI Applications Human-machine Collaboration Circular Manufacturing Intelligent Monitoring in Additive Manufacturing