dr. L. Xie (Lin)

Assitant Professor AI/OR Smart & Sustainable Industry


Xie, L., Kliewer, N., & Rößler (Accepted/In press). Generating Robust Vehicle Schedules by Predicting Real-World Bus Travel Time. Transportation Research Interdisciplinary Perspectives.
Ge, L., Nourmohammadzadeh, A., Voß, S. , & Xie, L. (2022). Robust Optimization for Integrated Vehicle and Crew Scheduling Based on Uncertainty in the Main Inputs. In The Fifth Data Science Meets Optimisation Workshop at IJCAI-22
Xie, L. (2022). Mobile Lagersysteme – intelligent und lernfähig. In Technologie-Informationen (Technologie-Informationen).
Nimpanomprasert , Xie, L., & Kliewer, N. (2022). Comparing two hybrid neural network models to predict real-world bus travel time. Transportation research procedia, 62, 393-400. https://doi.org/10.1016/j.trpro.2022.02.049
Ge, L., Kliewer, N., Nourmohammadzadeh, A., Voß, S. , & Xie, L. (2022). Revisiting the richness of integrated vehicle and crew scheduling. Public transport. https://doi.org/10.1007/s12469-022-00292-6
Xie, L., Thieme, N., Krenzler, R., & Li, H. (2021). Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems. European journal of operational research, 288(1), 80-97. https://doi.org/10.1016/j.ejor.2020.05.032

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Current Projects

Finished Projects

  • Robonatives Initiative Roll Out Nordostniedersachsen (RoboNord)

  • Robust integrated vehicle, crew scheduling and rostering in public transport


  • Robotic Mobile Fulfillment Systems

  • Optimization and Simulation for Robotic Mobile Fulfillment Systems



Universiteit Twente
Drienerlolaan 5
7522 NB Enschede

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Universiteit Twente
Postbus 217
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