| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
1773865390 Erscheint auch als (Druck-Ausgabe): ‡DigiTwin: an approach for production process optimization in a built environment |
| ISBN |
978-3-030-77538-4 |
| 978-3-030-77540-7 |
| 978-3-030-77541-4 |
| Name |
Stjepandić, Josip ¬[HerausgeberIn]¬ |
| Sommer, Markus ¬[HerausgeberIn]¬ |
| Name ANZEIGE DER KETTE |
Sommer, Markus ¬[HerausgeberIn]¬ |
| Name |
Denkena, Berend ¬[HerausgeberIn]¬ |
| T I T E L |
DigiTwin: An Approach for Production Process Optimization in a Built Environment |
| Auflage |
1st ed. 2022. |
| Verlagsort |
Cham |
| Cham |
| Verlag |
Springer International Publishing |
| Imprint: Springer |
| Erscheinungsjahr |
2022 |
| 2022 |
| 2022 |
| Umfang |
1 Online-Ressource(XII, 259 p. 89 illus., 34 illus. in color.) |
| Reihe |
Springer Series in Advanced Manufacturing |
| Titelhinweis |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-77538-4 |
| Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-77540-7 |
| Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-77541-4 |
| Erscheint auch als (Druck-Ausgabe): ‡DigiTwin: an approach for production process optimization in a built environment |
| ISBN |
ISBN 978-3-030-77539-1 |
| Klassifikation |
TGP |
| TEC020000 |
| 670 |
| Kurzbeschreibung |
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. |
| 2. Kurzbeschreibung |
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. |
| SWB-Titel-Idn |
1769723110 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttps://doi.org/10.1007/978-3-030-77539-1 |
| Internetseite / Link |
Resolving-System |
