- he Impact of Financial Distress on Forecast Updating in Supply Chains. (Vortrag / 33rd Annual POMS Conference, Orlando, USA) 2023 mehr…
- The Impact of Financial Distress on Forecast Updating in Supply Chains. (Vortrag / Oxford Internet Institute - TUM Heilbronn 2023 Summer Meeting, Oxford, UK) 2023 mehr…
- Customer Order Behavior Classification Via Convolutional Neural Networks in the Semiconductor Industry. IEEE Transactions on Semiconductor Manufacturing 35 (3), 2022, 470-477 mehr…
- Customer Order Behavior Visualization and Interpretation. (Vortrag / International Annual Conference of the German OR Society 2021, Virtual) 2021 mehr…
Marco Ratusny
Contact
E-Mail: marco.ratusny@tum.de
Short Biography
Marco is a Ph.D. student at the Professorship of Business Analytics & Intelligent Systems at TUM School of Management. Marco holds a Master of Science in Stochastic Engineering in Business and Finance from the Munich University of Applied Sciences as well as a Bachelor of Science in Information Systems and Management from the Munich University of Applied Sciences. His research focus lies on the application of machine learning algorithms in semiconductor supply chains regarding analysis of customer order behaviors.
In his spare time, Marco enjoys coaching goalkeepers for football, time with friends, and traveling.
Research Interests
-
Machine Learning, in particular image recognition with convolutional neural networks
-
Analysis of Customer Order Behavior