Publication: Optimizing digital twin synchronization in a finite horizon
Program
KU-Authors
KU Authors
Co-Authors
Matta, Andrea
Publication Date
Language
Embargo Status
Journal Title
Journal ISSN
Volume Title
Alternative Title
Abstract
Given the tendency to increase the complexity of digital twins to capture a manufacturing system in the most detailed way, synchronizing and using a complex digital twin with the real-time data may require significant resources. We define the optimal synchronization problem to operate the digital twins in the most effective way by balancing the trade-off between improving the accuracy of the simulation prediction and using more resources. We formulate and solve the optimal synchronization problem for a special case. We analyze the characteristics of the state-dependent and state-independent optimal policies that indicate when to synchronize the simulation at each decision epoch. Our numerical experiments show that the number of synchronizations decreases with the synchronization cost and with the system variability. Furthermore, a lower average number of synchronizations can be achieved by using a state-dependent policy.
Source
Publisher
IEEE
Subject
Computer science, Operations research and management science, Applied mathematics
Citation
Has Part
Source
2022 Winter Simulation Conference (WSC)
Book Series Title
Edition
DOI
10.1109/WSC57314.2022.10015424