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cs.LG2025
Evaluation of Artificial Intelligence Methods for Lead Time Prediction in Non-Cycled Areas of Automotive Production
Cornelius Hake, Jonas Weigele, Frederik Reichert +1
The present study examines the effectiveness of applying Artificial Intelligence methods in an automotive production environment to predict unknown lead times in a non-cycle-contro…
cs.LG2024
Data-driven tool wear prediction in milling, based on a process-integrated single-sensor approach
Eric Hirsch, Christian Friedrich
Accurate tool wear prediction is essential for maintaining productivity and minimizing costs in machining. However, the complex nature of the tool wear process poses significant ch…