ALL SPEAKERS
AT A GLANCE
Role
Student
Organisation
HSBI
Category
Community
ABOUT THE SPEAKER
Currently pursuing a research-oriented Master’s degree in Data Science at the Bielefeld University of Applied Sciences and Arts (HSBI), Germany. Her current work focuses on the evaluation of digital twin simulations through the application of machine learning algorithms. Her research interests include Industry 4.0, data-driven decision-making, and intelligent manufacturing systems.
TALK
Building Trust in Digital Twins for Smart Manufacturing
Industry 4.0 is transforming manufacturing through advances in automation, connectivity, and data-driven decision-making, with Digital Twins emerging as a key technology for modeling, simulating, and optimizing production systems. In discrete manufacturing, Digital Twins enable the prediction of system behavior and the evaluation of operational scenarios before implementing changes, reducing costs, implementation time, and production risks. To support scalable deployment, these models can be automatically generated from event logs, which capture the sequence of activities and decisions occurring during production.
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