Overview
- Provides a clear map toward future service systems’ innovation and management in the digital age
- Introduces a new approach for the realization of digital twin and metaverse in service systems
- Offers step-by-step procedures to model and simulate complex service systems
Part of the book series: SpringerBriefs in Service Science (SSS)
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Table of contents (9 chapters)
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Front Matter
Keywords
About this book
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.Authors and Affiliations
About the authors
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.Bibliographic Information
Book Title: Parallel Services
Book Subtitle: Intelligent Systems of Digital Twins and Metaverses for Services Science
Authors: Lefei Li, Fei-Yue Wang
Series Title: SpringerBriefs in Service Science
DOI: https://doi.org/10.1007/978-3-031-25333-1
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-25332-4Published: 30 March 2023
eBook ISBN: 978-3-031-25333-1Published: 29 March 2023
Series ISSN: 2731-3743
Series E-ISSN: 2731-3751
Edition Number: 1
Number of Pages: X, 83
Number of Illustrations: 10 b/w illustrations, 30 illustrations in colour
Topics: Operations Management, Services, Computer Applications, Artificial Intelligence, User Interfaces and Human Computer Interaction