04900nam a22005775i 4500 978-3-031-69107-2 DE-He213 20251030113246.0 cr nn 008mamaa 241026s2024 sz | s |||| 0|eng d 9783031691072 978-3-031-69107-2 10.1007/978-3-031-69107-2 doi QA76.9.C65 UYM bicssc COM072000 bisacsh UYM thema Digital Twins, Simulation, and the Metaverse [electronic resource] : Driving Efficiency and Effectiveness in the Physical World through Simulation in the Virtual Worlds / edited by Michael Grieves, Edward Y. Hua. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VIII, 446 p. 162 illus., 149 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Simulation Foundations, Methods and Applications, 2195-2825 1. Application of digital twins in manufacturing -- 2. Digital twins for advanced manufacturing -- 3. On the importance of simulation as an essential part of a digital twin for industrial applications -- 4. Digital Twins for Smart Production Planning and Control -- 5. A formal framework for digital twin modeling, verification & validation -- 6. Human Digital Twins: Understanding Performance of Humans Situated in Real-World Environments -- 7. Reinforcement Learning for Digital Twins. Dive into the fascinating world of Digital Twins, Simulation, and the Metaverse, where the virtual/digital and physical worlds collide and reshape industries. This book offers an insightful exploration of the revolutionary applications of these technologies, promising to ignite your imagination and inspire innovation. The topics described in this book represent a groundbreaking exploration of the synergistic relationship between digital twins, simulation, and the metaverse, as well as their transformative impact across various sectors. In addition to presenting theoretical discussions and experimental findings, this book focuses on real-life applications and illuminates the path for future research. This makes it a must-read for both industry and academia keen on understanding and harnessing the power of the emerging technologies. Topics and features: Discover from top thought leaders the predictions of how digital twins, simulation, and metaverses will evolve in direction, requirements, and capabilities Exploit the understanding of how digital-twin metaverses will revolutionize the effectiveness and efficiency of 21st-century work Explore cutting-edge, real-life applications of digital twins, simulation, and the metaverse (spanning a diverse array of industries and sectors) Understand the different views and perspectives of digital twins and metaverses shared by academia, industry, and government authors from around the world Learn how to harness the power of simulation in the world of digital twins and metaverses This unique volume consists of works from internationally renowned experts representing a diverse array of industries and sectors. It will be eminently suitable for researchers and practitioners working on modeling and simulation, digital twins, and the metaverse. Furthermore, this volume will serve as a valuable reference for executives and decision makers who are looking to leverage these cutting-edge technologies to expand their businesses, develop industrial and national strategies, and support future missions. Computer simulation. Mathematical physics. Mathematical models. 66910 Internet of things. 58845 Computer Modelling. 65738 Computational Physics and Simulations. 65564 Mathematical Modeling and Industrial Mathematics. 66912 Internet of Things. 58845 Grieves, Michael. editor. edt http://id.loc.gov/vocabulary/relators/edt 86621 Hua, Edward Y. editor. edt http://id.loc.gov/vocabulary/relators/edt 86622 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031691065 Printed edition: 9783031691089 Printed edition: 9783031691096 Simulation Foundations, Methods and Applications, 2195-2825 82757 https://doi.org/10.1007/978-3-031-69107-2 ZDB-2-CWD ZDB-2-SXPC 64499 64499