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Full Description
The focus of this book is an application of Digital Twin as a concept and an approach, based on the most accurate view on a physical production system and its digital representation of complex engineering products and systems. It describes a methodology to create and use Digital Twin in a built environment for the improvement and optimization of factory processes such as factory planning, investment planning, bottleneck analysis, and in-house material transport. The book provides a practical response based on achievements of engineering informatics in solving challenges related to the optimization of factory layout and corresponding processes.
This book introduces the topic, providing a foundation of knowledge on process planning, before discussing the acquisition of objects in a factory and the methods for object recognition. It presents process simulation techniques, explores challenges in process planning, and concludes by looking at future areas of progression. By providinga holistic, trans-disciplinary perspective, this book will showcase Digital Twin technology as state-of-the-art both in research and practice.
Contents
Chapter 1. Introduction to the Book.- Chapter 2. Requirements for the Optimization of Processes Using a Digital Twin of Production Systems.- Chapter 3. Digital Twin: A Conceptual View.- Chapter 4. Scan Methods and Tools for Reconstruction of Built Environments as Basis for Digital Twins.- Chapter 5. Machine Learning in Manufacturing in the Era of Industry 4.0.- Chapter 6. Object Recognition Methods in a Built Environment.- Chapter 7. Data Quality Management for Interoperability.- Chapter 8. Object Recognition Findings in a Built Environment.- Chapter 9. Design of Simulation Models.- Chapter 10. The Commercialization of Digital Twin by an Extension of a Business Eco-system.- Chapter 11. Digital Twin: Conclusion and Future Perspectives.
