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Department of Data Science

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Department of Data Science

  1. Home
  2. Research
  3. Research Groups
  4. Optimization under Uncertainty & Data Analysis
  5. Group members
  6. M.Sc. Benno Hoch
  7. Projects

Projects

In page navigation: Research
  • Agile Teams
    • IBO – Intelligent Business Optimization
    • DynDat – Dynamic data inversion, learning and control
  • Research Groups
    • Analytics & Mixed-Integer Optimization
      • Group members
        • Dr. Andreas Bärmann
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        • M.Sc. Kristin Braun
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        • M.Sc. Patrick Gemander
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        • Prof. Dr. Yiannis Giannakopoulos
        • M.Sc. Adrian Göß
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        • M.Sc. Katrin Halbig
        • M.Sc. Lukas Hümbs
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        • M.Sc. Jan Krause
        • M.Sc. Richard Krug
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        • Prof. Dr. Alexander Martin
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        • M.Sc. Alexander Müller
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        • Dipl.-Math. Galina Orlinskaya
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        • Dr. Jan Rolfes, Akad. Rat
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        • Hanno Schülldorf
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        • M.Sc. Dennis Adelhütte
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        • M.Sc. Kevin-Martin Aigner
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        • M.Sc. Daniela Bernhard
        • M.Sc. Christian Biefel
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        • M.Sc. Jana Dienstbier
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        • M.Sc. Benno Hoch
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        • M.Sc. Martina Kuchlbauer
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        • Prof. Dr. Frauke Liers
        • M.Sc. Florian Rösel
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        • Sebastian Tschuppik
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        • Friedrich Wagner
        • M.Sc. Jorge Weston
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    • Partial Differential Equations
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        • Prof. Dr. Frank Duzaar
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        • PD Dr. Jens Habermann
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        • Dr. Andreas Herán
        • Andrea Hoppe
        • Dr. Manfred Kronz
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        • Ehsan Waiezi
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  • Professors, Lecturers and Researchers
    • Frank Duzaar
    • Giovanni Fantuzzi
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    • Martin Gugat
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    • Johannes Helbig
    • Manfred Kronz
    • Frauke Liers
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    • Wigand Rathmann
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        • Flachwasserkanal
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    • Dieter Weninger
    • Marius Yamakou
    • Enrique Zuazua
  • Secondary Members of DDS
    • Freimut Bodendorf
    • Günter Leugering
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Projects

Projects

  • Holistische Optimierung von Trajektorien und Runway Scheduling

    (Third Party Funds Group – Sub project)

    Overall project: Holistische Optimierung von Trajektorien und Runway Scheduling
    Term: 1. September 2018 - 31. August 2022
    Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)
    URL: https://en.www.math.fau.de/edom/projects-edom/logistics-and-production/holistic-optimization-of-trajectrories-and-runway-schedul
    Abstract

    Efficient runway utilization is a major issue in airport operation, as capacities are (nearly) reached in many aiports. But planing is highly affected by uncertainties arising from weather changes or disruptions in the operative business. Furthermore, the planing of flight trajectories in the terminal region is by now often neglected in runway scheduling, as time efficient solution methods are mathematically challenging. The overall goal of this project is to combine trajectory and runway schedule computation including resilience against uncertainties in order to obtain stable optimal solutions.

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Department of Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg

Cauerstr. 11
91058 Erlangen
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