Thorsten Greil

Doctoral candidate

Email: thorsten.greil(at)tum.de
Phone: +49 (0)89 289 24882
Room: 1537 (building 0505)


Research interests

  • Resilient and environmentally sustainable supply chain planning

  • Stochastic optimization

  • Machine learning for environmental sustainability in supply chains


Employment

09/2021 - present Research associate
Chair of Production & Supply Chain Management,
Technical University of Munich, Germany
08/2018 - 08/2021

Strategy consultant in Operations Practice
Roland Berger GmbH, Germany


Education

10/2015 - 03/2018 M.Sc. in Industrial Engineering and Management,
Karlsruhe Institute of Technology, Germany
10/2011 - 07/2015 B.Sc. in Industrial Engineering and Management,
Karlsruhe Institute of Technology, Germany

Conference contributions

  • Greil, T.; Grunow, M.: The environmental impact of switching from deterministic to stochastic modeling in Sales & Operations Planning under uncertainty. (Talk / 4th Conference of the EURO Working Group on Sustainable Supply Chains) 2023 more…
  • Greil, T.: The environmental impact of considering uncertainty in supply chain planning. (Talk / QBWL (Bad Windsheim)) 2023 more…
  • Kurpjuweit, S.; Wagner, S.; Greil, T.: The rise of logistics startups and their impact on the logistics industry. Proceedings of the 25th EurOMA Conference, 2018Budapest, Hungary more…

Student project supervisions

  • Naumann, D.: Global Virtual Factory Simulation for Energy Efficiency. Master thesis, 2023 more…
  • Javed, M.: Reducing Semiconductor FAB Emissions by Optimizing Changeovers in Photoresist Coating Processes Through Improved Scheduling. Master thesis, 2023 more…
  • Park, H.: Environmental Impact of Uncertainty in Master Production Scheduling in the FMCG Industry. Master thesis, 2022 more…
  • Maier-Borst, M.: Financial Forecasting: A Machine Learning-based Approach to Account for Imperfect Advance Demand Information. Master thesis, 2022 more…
  • Pham, V. D. K. : Incorporation and Communication of Uncertainty in Tactical Production Planning: An Approach to Communicate the Value of Stochastic Programming. Master thesis, 2022 more…
  • Vargiamis, A.: Master production scheduling disaggregation using cost function parametrization. Master thesis, 2022 more…

  • Kim, A.: Environmental Out-of-scope Impact of Lead Time Uncertainty in Production Planning. Bachelor thesis, 2023 more…