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.

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 providing a holistic, trans-disciplinary perspective, this book will showcase Digital Twin technology as state-of-the-art both in research and practice.