Digital Twins for Simulation-Based Decision-Making
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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.
Details
- Publisher
- Springer Nature Switzerland
- Format
- Paperback
- Published
- Jul 10, 2025
- ISBN-13
- 9783031896538
- Pages
- 271
- Printing
- Printed on demand
Digital Twins for Simulation-Based Decision-Making for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $105.59 | 12% off list |
| 50 – 99 | $104.39 | 13% off list |
| 100+ | $103.19 | 14% off list |
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For new managers and leadership cohorts, a chapter per session.
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A takeaway attendees will actually read, delivered to your venue.
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Volume pricing applies automatically in your cart, with no code needed. Price per copy: 25 to 49 copies, $105.59 (12% off list); 50 to 99 copies, $104.39 (13% off list); 100+ copies, $103.19 (14% off list). Need a different quantity, or a quote to forward for approval? Ask a specialist and we will confirm pricing before you pay.
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Digital Twins for Simulation-Based Decision-Making
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