| 2024 |
| Wednesday, January 3rd |
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12:00 AM
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Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems
Abdulrahman Nahhas, Otto von Guericke University Magdeburg
Andrey Kharitonov, Otto von Guericke University Magdeburg
Christian Haertel, Otto von Guericke University Magdeburg
Klaus Turowski, Otto von Guericke University Magdeburg
Hilton Hawaiian Village, Honolulu, Hawaii
12:00 AM - 12:00 AM
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| 12:00 AM |
Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0
Steffen Strassburger, Technische Universität Ilmenau
Stefan Galka, Ostbayerische Technische Hochschule Regensburg
Tobias Reggelin, Otto von Guericke University Magdeburg
Sebastian Lang, Fraunhofer Institute for Factory Operation and Automation IFF
Hilton Hawaiian Village, Honolulu, Hawaii
12:00 AM - 12:00 AM
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| 12:00 AM |
Optimizing Safety Stock Placement in Large Real-World Automotive Supply Networks Using the Guaranteed-Service Model
Benjamin Rolf, Otto von Guericke University
Kayvan Lavassani, North Carolina Central University
Sebastian Lang, Fraunhofer Institute for Factory Operation and Automation IFF
Tobias Reggelin, Otto von Guericke University Magdeburg
Hilton Hawaiian Village, Honolulu, Hawaii
12:00 AM - 12:00 AM
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|
| 12:00 AM |
Reviving Simulated Annealing: Lifting its Degeneracies for Real-Time Job Scheduling
Johann Schmidt, Otto-von-Guericke University Magdeburg
Benjamin Köhler, SaxonQ GmbH
Hagen Borstell, Thorsis Technologies GmbH
Hilton Hawaiian Village, Honolulu, Hawaii
12:00 AM - 12:00 AM
Visit Site
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