Armin Fügenschuh | Lecturer Skip to main content

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Headshot of Armin Fügenschuh

Armin Fügenschuh

Lecturer

Research Interests

Mathematical optimization; operations research; linear and nonlinear mixed-integer programming

Education

  • Diploma in Mathematics, U Oldenburg, Germany 2000
  • Dr. rer. nat, TU Darmstadt, Germany 2005
  • Dr. habil., TU Berlin, Germany 2011

Selected Publications

  • S. Zell, T. Schneidereit, A. Fügenschuh, M. Breuss. Autonomous Unmanned Aircraft Systems for Enhanced Search and Rescue of Drowning Swimmers: Location-Allocation Optimization and Flight Trajectory Planning. Optimization and Engineering, 2026. DOI: 10.1007/s11081-026-10115-3
  • F. Gnegel, S. Schaudt, U. Clausen, A. Fügenschuh. A Graph-Refinement Algorithm to Minimize Squared Delivery Delays Using Parcel Robots. Mathematics 12(20), p. 3201, 2024. DOI: 10.3390/math12203201
  • J. Schmidt, A. Fügenschuh. Trajectory Optimization for Arbitrary Layered Geometries in Wire-Arc Additive Manufacturing. Optimization and Engineering 25, pp. 529–553, 2024. DOI: 10.1007/s11081-023-09813-z
  • I. Ali, B. Sarkar, S.M. Ali, A. Fügenschuh. Environment Waste and Renewable Energy Optimization for the Sustainable Development Goals Achievement. Frontiers in Environmental Science 11, p. 1167835, 2023. DOI: 10.3389/fenvs.2023.1167835
  • F. Gnegel, A. Fügenschuh. Branch-and-Refine for Solving Time-Expanded MILP Formulations. Computers & Operations Research 149, p. 106043, 2023. DOI: 10.1016/j.cor.2022.106043
  • J. Schmidt, A. Fügenschuh. A Two-time-level Model for Mission and Flight Planning of an Inhomogeneous Fleet of Unmanned Aerial Vehicles. Computational Optimization and Applications 85, pp. 293–335, 2023. DOI: 10.1007/s10589-023-00450-x
  • S. Ghosh, S.K. Roy, A. Fügenschuh. The Multi-Objective Solid Transportation Problem with Preservation Technology Using Pythagorean Fuzzy Sets. International Journal of Fuzzy Systems 24, pp. 2687–2704, 2022. DOI: 10.1007/s40815-021-01224-5
  • A. Stieber, A. Fügenschuh. Dealing with Time in the Multiple Traveling Salesmen Problem with Moving Targets. Central European Journal of Operations Research 30, pp. 991–1017, 2022. DOI: 10.1007/s10100-020-00712-7
  • L.M. Johannsmann, E.M. Craparo, T.L. Dieken, A. Fügenschuh, B.O. Seitner. Stochastic Mixed-Integer Programming for a Spare Parts Inventory Management Problem. Computers & Operations Research 138, p. 105568, 2022. DOI: 10.1016/j.cor.2021.105568
  • R. Dee, A. Fügenschuh, G. Kaimakamis. The Unit Re-Balancing Problem. Mathematics 9(24), p. 3205, 2021. DOI: 10.3390/math9243205
  • A. Fugenschuh, D. Müllenstedt, J. Schmidt. Flight Planning for Unmanned Aerial Vehicles. Military Operations Research 26(3), pp. 49–71, 2021. URL: https://www.jstor.org/stable/27070890
  • F. Gnegel, A. Fügenschuh, M. Hagel, S. Leyffer, M. Stiemer. A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems. Mathematical Programming 188, pp. 695–728, 2021. DOI: 10.1007/s10107-021-01626-1

Research Quick Takes

Yineng "Phoebe" Sun headshot

Sep 24, 2026

Optimizing Complex Delivery Systems

PhD candidate Yineng "Phoebe" Sun Th'17 Th'26 is first author, with Lecturer Armin Fügenschuh and Professor Vikrant Vaze as co-authors, of "Physics-aware truck and drone delivery planning using optimization & machine learning" published in Computers & Operations Research. The presented framework has been shown to reduce delivery time and energy use compared with simplified planning approaches. "This work matters because it brings realistic physical modeling into operations research, showing how optimization and data-driven methods can work together to make complex delivery systems both more efficient and more practical," said Sun.