| A deep reinforcement learning approach for optimal replenishment policy in a vendor managed inventory setting for semiconductors MT Afridi, S Nieto-Isaza, H Ehm, T Ponsignon, A Hamed 2020 Winter Simulation Conference (WSC), 1753-1764, 2020 | 12 | 2020 |
| Flexibility as an enabler for carbon dioxide reduction in a global supply chain: a case study from the semiconductor industry A Hamed, H Ehm, T Ponsignon, B Bayer, KE Kabak 2018 Winter Simulation Conference (WSC), 3408-3419, 2018 | 5 | 2018 |
| Ontology-based analysis of potential of CO2 savings in a semiconductor industry IE Thomas, A Ismail, H and Ehm 2021 IEEE 17th International Conference, 2, 2021 | | 2021 |
| Simulating the COVID-19 pandemic and its impact on the semiconductor supply chain L Butgereit, M Lopera, A Ismail, and Ehm, Hans 2021 IEEE 17th International Conference on Automation Science and Engineering, 2, 2021 | | 2021 |
| Forecasting Supply Chain Impact by Predicting Governmental Decisions in the COVID-19 Pandemic P Kienzl, H Ehm, A Ismail Winter Simulation Conference, 2, 2020 | | 2020 |
| Flexibility as an Enabler for Carbon Dioxide Reduction in a Global Supply Chain A Ismail Politecnico di Milano, 2018 | | 2018 |
Thomas PonsignonInfineon Technologies AGVerified email at infineon.com
