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Digital twins for simulation-based decision-making

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital twins for simulation-based decision-makingedited by Vinay Kulkarni, Tony Clark, Balbir S. Barn.
other author:	Kulkarni, Vinay.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	ix, 271 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Digital twins (Computer simulation)
Online resource:	https://doi.org/10.1007/978-3-031-89654-5
ISBN:	9783031896545$q(electronic bk.)

Digital twins for simulation-based decision-making
Digital twins for simulation-based decision-making[electronic resource] /edited by Vinay Kulkarni, Tony Clark, Balbir S. Barn. - Cham :Springer Nature Switzerland :2025. - ix, 271 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783031896545$q(electronic bk.)

Standard No.: 10.1007/978-3-031-89654-5doiSubjects--Topical Terms:

938961
Digital twins (Computer simulation)

LC Class. No.: QA76.9.C65

Dewey Class. No.: 003.3

Digital twins for simulation-based decision-making
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245 0 0 $a Digital twins for simulation-based decision-making $h [electronic resource] / $c edited by Vinay Kulkarni, Tony Clark, Balbir S. Barn.
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505 0 $a 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.
520 $a 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.
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