Sascha Burmeister, M. Sc.
Research Associate
Research Associate
- E-Mail:
- sascha.burmeister@upb.de
- Phone:
- +49 5251 60-3120
- Office Address:
-
Warburger Str. 100
33098 Paderborn - Room:
- Q2.431
Research Associate
- E-Mail:
- sascha.burmeister@uni-paderborn.de
- Phone:
- +49 5251 60-3120
- Office Address:
-
Zukunftsmeile 2
33102 Paderborn - Room:
- ZM2.A.03.06
Publications
Latest Publications
Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators
S.C. Burmeister, G. Schryen, Energy Systems (2023).
A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs
S.C. Burmeister, D. Guericke, G. Schryen, Flexible Services and Manufacturing Journal (2023).
Regenerative Energien für einen effizienten Betrieb von Presshärtelinien
L. Knorr, A. Jungeilges, F. Pfeifer, S.C. Burmeister, H. Meschede, Regenerative Energien für einen effizienten Betrieb von Presshärtelinien, 4. Aachener Ofenbau- und Thermoprozess-Kolloquium, Aachen, 2023.
Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning
J. Kirchhoff, S.C. Burmeister, C. Weskamp, G. Engels, in: M.H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, O. Werth (Eds.), Energy Informatics and Electro Mobility ICT, 2021.
Heuristics and Simulation for Water Tank Optimization
Show all publications
C. Hallmann, S.C. Burmeister, M. Wissing, L. Suhl, in: Communications in Computer and Information Science, Cham, 2018.
Further Information
Research Profile
In the Re²Pli research project, a sustainable and efficient production line for the manufacture of press-hardened components is being set up and validated on the basis of induction heating. The high flexibility of induction heating enables dynamic adaptation of the manufacturing strategy. This means that variables such as energy availability, maintenance, malfunctions and set-up times can be better taken into account in a manufacturing strategy.
The aim is to develop a system which, in communication with machine sizes, energy management and order situation, enables optimized, energy-efficient and economical production of components.