Felix Prause

I am interested in mixed integer programming, heuristics, and bounds for rolling stock rotation planning. Currently, I am working on incorporating condition-based and predictive maintenance into the schedules.

📬 Contact

office
Room 3001 at ZIB
e-mail

🎓 Curriculum vitae

since 2020
Researcher at ZIB
May 2020
M.Sc. in Mathematics at TUB
Oct 2016
B.Sc. in Mathematics at TUB

đź“ť Publications and preprints

Preprints

  1. Prause, F., and Borndörfer, R. (2024). An Iterative Refinement Approach for the Rolling Stock Rotation Problem with Predictive Maintenance. [arXiv]
    [BibTeX]
    @misc{fr_irars_2024,
      archiveprefix = {arXiv},
      eprint = {2404.08367},
      primaryclass = {math.OC},
      year = {2024},
      author = {Prause, Felix and Borndörfer, Ralf},
      title = {An Iterative Refinement Approach for the Rolling Stock Rotation Problem with Predictive Maintenance}
    }
  2. Prause, F. (2023). A Multi-Swap Heuristic for Rolling Stock Rotation Planning with Predictive Maintenance (ZIB Report No. 23-29). Zuse Institute Berlin. [URL]
    [BibTeX]
    @techreport{prause2023multi,
      year = {2023},
      institution = {Zuse Institute Berlin},
      type = {ZIB Report},
      month = dec,
      number = {23-29},
      url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-93133},
      author = {Prause, Felix},
      title = {A Multi-Swap Heuristic for Rolling Stock Rotation Planning with Predictive Maintenance}
    }
  3. Prause, F., and Borndörfer, R. (2023). Construction of a Test Library for the Rolling Stock Rotation Problem with Predictive Maintenance (ZIB Report No. 23-20). Zuse Institute Berlin. [URL]
    [BibTeX]
    @techreport{fr_ctlrsp_2023,
      year = {2023},
      institution = {Zuse Institute Berlin},
      type = {ZIB Report},
      month = jul,
      number = {23-20},
      url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-91734},
      author = {Prause, Felix and Borndörfer, Ralf},
      title = {Construction of a Test Library for the Rolling Stock Rotation Problem with Predictive Maintenance}
    }

Full articles

  1. Prause, F., Borndörfer, R., Grimm, B., and Tesch, A. (2024). Approximating Rolling Stock Rotations with Integrated Predictive Maintenance. Journal of Rail Transport Planning & Management, 30. DOI: 10.1016/j.jrtpm.2024.100434
    [BibTeX]
    @article{frba_arsripm_2024,
      year = {2024},
      journal = {Journal of Rail Transport Planning & Management},
      volume = {30},
      doi = {10.1016/j.jrtpm.2024.100434},
      author = {Prause, Felix and Borndörfer, Ralf and Grimm, Boris and Tesch, Alexander},
      title = {Approximating Rolling Stock Rotations with Integrated Predictive Maintenance}
    }
  2. Prause, F., Hoppmann-Baum, K., Defourny, B., and Koch, T. (2021). The Maximum Diversity Assortment Selection Problem. Mathematical Methods of Operations Research, 93. DOI: 10.1007/s00186-021-00740-2
    [BibTeX]
    @article{fkbt_mdas_2021,
      year = {2021},
      journal = {Mathematical Methods of Operations Research},
      volume = {93},
      doi = {10.1007/s00186-021-00740-2},
      author = {Prause, Felix and Hoppmann-Baum, Kai and Defourny, Boris and Koch, Thorsten},
      title = {The Maximum Diversity Assortment Selection Problem}
    }

🔬 Projects

Research Campus MODAL SynLab

SynLab researches mathematical generalization of application-specific advances achieved in the Gas-, Rail– and MedLab of the research campus MODAL. The focus is on exact methods for solving a broad class of discrete-continuous optimization problems. This requires advanced techniques for structure recognition, consideration of nonlinear restrictions from practice, and the efficient implementation of mathematical algorithms on modern computer architectures. The results are bundled in a professional software package and complemented by a range of high-performance methods for specific applications with a high degree of innovation.

SynLab
Apr 2020 to Mar 2025
13
52

Daten- Und Prozessbasierte Zustandsermittlung FĂĽr Eine Wertorientierte Komponentenbewirtschaftung in Imperfekter Umgebung

Airplane data quality is uneven due to varied sources and sensor limitations. This project aims to create data processing services for Component Spotting to help airlines optimize business processes and improve customer satisfaction. We will develop methods for modeling and evaluating data quality, creating a semantic and uniform description for processing models. Using AI algorithms, we will handle inaccuracies and uncertainties to form an analysis-friendly information model.

DaProko
Jul 2020 to Dec 2022
3

đź’¬ Talks and posters

Conference and workshop talks

Sep 2024
A Bayesian Rolling Horizon Approach for Rolling Stock Rotation Planning with Predictive Maintenance
ATMOS Conference, London
Mar 2024
A Multi-Swap Heuristic for Rolling Stock Rotation Planning with Predictive Maintenance
INOC Conference, Dublin
Aug 2023
Construction of a Test Library for the Rolling Stock Rotation Problem with Predictive Maintenance
OR Conference, Hamburg
Apr 2023
Approximating the Rolling Stock Rotation Problem with Predictive Maintenance by a State-Expanded Event-Graph
RailBelgrade Conference, Belgrade

👨‍🏫Teaching

summer 2024
Lecture Assistant for Diskrete Mathematik III at FUB
summer 2024
Lecture Assistant for Applied Integer Programming at FUB
winter 2023
Lecture Assistant for Diskrete Mathematik II at FUB
summer 2023
Lecture Assistant for Diskrete Mathematik 1 at FUB
summer 2017
Tutor for Mathematik II fĂĽr Wirtschaftswissenschaftler at TUB
winter 2016
Tutor for Mathematik I fĂĽr Wirtschaftswissenschaftler at TUB
summer 2016
Tutor for Mathematik II fĂĽr Wirtschaftswissenschaftler at TUB
winter 2015
Tutor for Mathematik I fĂĽr Wirtschaftswissenschaftler at TUB
summer 2015
Tutor for Mathematik II fĂĽr Wirtschaftswissenschaftler at TUB
winter 2014
Tutor for Lineare Algebra fĂĽr Ingenieurwissenschaften at TUB