Publicaties
Recent
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
Ge, L., Voß, S.
, & Xie, L. (2022).
Robustness and disturbances in public transport.
Public transport,
14, 191-261.
https://doi.org/10.1007/s12469-022-00301-8
Xie, L., Li, H., & Luttmann, L. (2022).
Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses.
European journal of operational research.
https://doi.org/10.1016/j.ejor.2022.08.047
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
Ge, L., Sarhani, M., Voß, S.
, & Xie, L. (2021).
Review of Transit Data Sources: Potentials, Challenges and Complementarity.
Sustainability,
13(20), [11450].
https://doi.org/10.3390/su132011450
Otten, S., Krenzler, R.
, Xie, L., Daduna, H., & Kruse, K. (2021).
Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems.
OR Spectrum,
44, 603-648.
https://doi.org/10.1007/s00291-021-00662-9
Xie, L., Li, H., & Thieme, N. (2019).
From Simulation to Real-World Robotic Mobile Fulfillment Systems.
Logistics Research.
https://doi.org/10.23773/2019_9
Knust, F.
, & Xie, L. (2019).
Simulated annealing approach to nurse rostering benchmark and real-world instances.
Annals of operations research,
272, 187-216.
https://doi.org/10.1007/s10479-017-2546-8
Merschformann, M.
, Xie, L., & Erdmann, D. (2018).
Multi-agent path finding with kinematic constraints for robotic mobile fulfillment systems. arXiv.org.
Drews, P., Funk, B., Niemeyer, P.
, & Xie, L. (Eds.) (2018).
Multikonferenz Wirtschaftsinformatik 2018: Data driven X – Turning Data into Value.
Krenzler, R.
, Xie, L., & Li, H. (2018).
Deterministic Pod Repositioning Problem in Robotic Mobile Fulfillment Systems. arXiv.org.
https://doi.org/10.48550/arXiv.1810.05514
Merschformann, M.
, Xie, L., & Li, H. (2018).
RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems.
Logistics Research,
11(8).
https://doi.org/10.23773/2018_8
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Universiteit Twente
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7522 NB Enschede
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7500 AE Enschede