Digital Twins for Simulation-Based Decision-Making
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Product details:
- Publisher Springer
- Date of Publication 1 July 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031896538
- Binding Paperback
- No. of pages232 pages
- Size 235x155 mm
- Language English
- Illustrations 30 Illustrations, black & white; 79 Illustrations, color 700
Categories
Short description:
212121;">Professor of Software Engineering and Pro-Vice Chancellor and Executive Dean of the College of Engineering and Physical Sciences at Aston University, UK. He has a long experience of working in both academia and industry on a range of software projects and consultancies. His current interests are using adaptation and model-based techniques to create digital twins.
Balbir S. Barn is Professor of Software Engineering and Executive Dean of the Faculty of Science and Technology at Middlesex University, UK. His current research interests are methodologies and software tools for defining digital twins, languages and modelling for agent-based adaptive systems.
MoreLong description:
This book introduces the concept of digital twins and their purposive usage, including the technology infrastructure and the method support necessary for their construction. The landscape of digital twins is illustrated through a range of use cases spread across different application domains such as strategy and business assessment in enterprises, logistics networks, manufacturing industries, chemical and refinery systems, sustainable food ecosystems, and public healthcare. All these examples show how digital twins are exploited to simulate complex scenarios depending on various external factors – all of which would not be feasible as real-world simulations because of their high costs, potential fatal damages, and unpredictable side effects.
The book is written for professionals in industry who would like to learn about the application of these powerful methodologies and tools in various areas as well as for researchers in computer science who would like to draw inspirations for further development of this technology from real-world applications.
MoreTable of Contents:
1. An Introduction to Digital Twins.- 2. Control and Optimisation using Digital Twins: Principles and Case Studies.- 3. Role of Enterprise Digital Twin in Enhancing Business Agility. 4. Improving Operational Efficiency of Sorting Terminals in Logistics Industry.- 5. Digital Twins for Process Optimization and Predictive Maintenance in Manufacturing Industries.- 6. Development of Digital Twins for Chemical Reactors to Predict the Catalysis Conversion Efficiency.- 7. Harnessing Digital Twins for Building Resilient Food Supply Chains.- 8. Digital Twin of Fuel Cell.- 9. Building Resilient Public Healthcare Systems Using Digital Twins.- 10. Knowledge Orchestrated Digital Twin Suite for Smart Refinery Operations.- 11. Digital Twin based Enterprise Ecosystems.
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