A Digital Twin for Production Control Based on Remaining Cycle Time Prediction
Author:
Affiliation:
1. KU Leuven,Dep. of Mechanical Engineering,Leuven,Belgium,3001
2. Politecnico di Milano,Dep. of Mechanical Engineering,Milano,Italy,20156
3. University of São Paulo,Dep. of Production Engineering,São Paulo,Brazil
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406299/10407113/10407531.pdf?arnumber=10407531
Reference23 articles.
1. DtwinPy GitHub Repository;Bacelar dos Santos,2023
2. DtwinPy-Paper-WSC2023-RCT - Experiments Dataset in Zenodo;Bacelar dos Santos,2023
3. An extended model for remaining time prediction in manufacturing systems using process mining
4. Predictive Process Monitoring for Prediction of Remaining Cycle Time in Automated Manufacturing: A Case Study
5. Digital twins: Representation, Replication, Reality, and Relational (4Rs)
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