Optimizing Supply Chains Through Digital Twins
Edited by Ghaith Rabadi () and
Bulent Soykan ()
in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier
Date: 2025
ISBN: 978-3-032-08147-6
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Chapters in this book:
- Ch Chapter 1 Introduction
- Bulent Soykan and Ghaith Rabadi
- Ch Chapter 10 Uncertainty Quantification in Digital Twin Simulations
- Bahar Biller, Canan Gunes Corlu and Stephan R. Biller
- Ch Chapter 11 Digitalizing the Automotive Assembly Supply Chain Using Multi-Agent-Based Digital Twins
- Konstantinos Mykoniatis and Michail Katsigiannis
- Ch Chapter 12 Digital Twins for Hyperconnected City Logistics
- Russell G. Thompson, Masoud Kahalimoghadam, Lele Zhang and Soheil Sabri
- Ch Chapter 13 Integrating AI and ML in Supply Chain Digital Twins: Bridging Potential and Foundational Research Gaps
- Bulent Soykan and Ghaith Rabadi
- Ch Chapter 2 Digital Twin in Supply Chain Management: A Comprehensive Bibliometric Review
- Gulsah Hancerliogullari Koksalmis and Emrah Koksalmis
- Ch Chapter 3 Harnessing the Power of Simulation in Supply Chain Digital Twins
- Emrah Koksalmis
- Ch Chapter 4 Supply Chain Digital Twin Application: Control Tower
- Sean Jefferson and Rami Musa
- Ch Chapter 5 The Digital Backbone of Modern Supply Chains: Enabling Technologies for Digital Twins
- Bulent Soykan and Ghaith Rabadi
- Ch Chapter 6 Modeling Supply Chain Ecosystem Architecture to Support Digital Twins
- Ola G. Batarseh
- Ch Chapter 7 A Supply Chain Digital Twin Architecture for Semiconductor Industry
- Bulent Soykan, Sean Mondesire, Ghaith Rabadi and Grace Bochenek
- Ch Chapter 8 A Framework for Supply Chain Simulation and Digital Twinning
- Raid Al-Aomar, Tim Wollert and Fabian Behrendt
- Ch Chapter 9 “Navigating the Modern Landslide”: The Agent-Based View Towards Supply Chain Immunity and Digital Twin Optimization—A Use Case with XMPro
- Rajinder Bhandal and Pieter van Schalkwyk
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-3-032-08147-6
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DOI: 10.1007/978-3-032-08147-6
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