Under the supervision of Prof. Pirmin Fontaine, Daniel made significant contribution to the field of resilient supply chain management. He developed innovative data-driven solution approaches for strategic, tactical, and operational decision making. He applied advanced combinatorial optimization techniques, e.g. Benders decomposition, novel machine learning algorithms, and heuristics. His applications on real-world data showed the practicability of his methodological framework. Daniel is now continuing his career in the family-owned Borne Group as CEO. We wish him all the best for his future career and always a resilient supply chain in his business.
His PhD thesis resulted in four papers. One is already Published in the European Journal of Operational Research (VHB: A) and two are currently under review in two top-journals (both VHB: A):
- Müllerklein, D., & Fontaine, P. (2025). Resilient transportation network design with disruption uncertainty and lead times. European Journal of Operational Research, 322(3), 827-840.
- Müllerklein, D., Fontaine, P., & Ortmann, J. (2025). A Cost Focused Machine Learning framework for replenishment decisions under transportation cost uncertainty. Working Paper.
- Müllerklein, D., & Fontaine, P., 2025. On product characteristics in a two-echelon resilient network design. Working Paper.
- Müllerklein, D., 2025. A seven-step supply chain resilience framework for mitigating waterborne disruptions in transportation network design. Working Paper.