Parallel Services: Intelligent Systems of Digital Twins and Metaverses for Services Science

Li, Lefei/ Wang, Fei-Yue

ISBN 10: 3031253329 / ISBN 13: 9783031253324

Published by Springer Nature, 2023

About this Item

93 pages. 9.25x6.10x0.20 inches. In Stock.

Seller Inventory # x-3031253329

Bibliographic Details

• Title: Parallel Services: Intelligent Systems of Digital Twins and Metaverses for Services Science
• Publisher: Springer Nature
• Publication Date: 2023
• Language: English
• ISBN 10: 3031253329
• ISBN 13: 9783031253324
• Binding: Paperback
• Condition: Brand New
• Weight: 0.15 kilograms

About this title

Synopsis

By incorporating the latest advancement in complex system modeling and simulation into the service system research, this book makes a valuable contribution to this field that will lead service innovation and service management toward the digital twin and metaverse. It covers important topics such as computational experiments and parallel execution of a parallel service system, the modeling of artificial service systems, semi-parallel service systems, parallel service, and digital twin/metaverse. It also provides a unified framework for realizing a parallel service system that demonstrates the capabilities or potentials of adopting digital twin and metaverse.

In addition, the book contains numerous solutions to real-world problems, through which both academic readers and practitioners will gain new perspectives on service systems, and learn how to model a parallel service system or how to use the model to analyze and understand the behaviors of the system.  For academic readers, it sheds light on a new research direction within the service science/engineering domain made possible by the latest technologies. For practitioners, with the help of methods such as Agent-based Modeling and Simulation, the book will enable them to enhance their skills in designing or analyzing a service system.

About the Author

Dr. Lefei Li is an Associate Professor at the Department of Industrial Engineering, Tsinghua University (China). His research focuses on artificial transportation systems, Systems Engineering, and service management problems. He is the Assistant Director of the International Council on Systems Engineering (INCOSE) and an associate editor for several international journals.

Dr. Feiyue Wang is the Director of the key laboratory of Complex Systems and Intelligence Science, Chinese Academy of Sciences (CAS), China. His current research focuses on methods and applications for parallel intelligence, social computing, and knowledge automation. He is a Fellow of INCOSE, IFAC, ASME, and AAAS.