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Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System., , and . Simul. Notes Eur., 32 (3): 169-175 (2022)Optimal Scheduling for Automated Guided Vehicles (AGV) in Blocking Job-Shops., and . APMS (1), volume 513 of IFIP Advances in Information and Communication Technology, page 151-158. Springer, (2017)Risikoanalyse bei Steuerberatungsunternehmen. Dresden, (2007)Dynamically Changing Sequencing Rules with Reinforcement Learning in a Job Shop System With Stochastic Influences., and . WSC, page 1608-1618. IEEE, (2020)Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning., and . Int. J. Prod. Res., 61 (1): 147-161 (2023)Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup., , , , and . IEEE SENSORS, page 1-4. IEEE, (2019)Simulation Based Optimization of Lot Sizes for Opposing Logistic Objectives., , , and . APMS (2), volume 567 of IFIP Advances in Information and Communication Technology, page 171-179. Springer, (2019)Applying Quarter-Vehicle Model Simulation for Road Elevation Measurements Utilizing the Vehicle Level Sensor., , , , , , and . VTC Fall, page 1-6. IEEE, (2020)Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN., , , , , , , and . IEEE BigData, page 5563-5571. IEEE, (2020)Simulation-based Investigation of Energy Flexibility in the Optimization of Hinterland Drainage., and . Simul. Notes Eur., 34 (1): 35-42 (2024)