To content
Fakultät für Informatik
Automated Quality Assurance

Dominik Mäckel, M.Sc.

E-Mail
dominik.maeckeltu-dortmundde

Phone
(+49) 231 755-7270

Office
TU Dortmund University
Department for Computer Science
Otto-Hahn-Straße 12
44227 Dortmund
Room 2.016

Consultation Hours
By appointment

Links
ORCID
Google Scholar
GitHub

Dominik Mäckel (Portrait) © Privat

Publications

2024

[1] Schallau, T., Mäckel, D., Naujokat, S., Howar, F. (2024). STARS: A Tool for Measuring Scenario Coverage When Testing Autonomous Robotic Systems. In: Sangchoolie, B., Adler, R., Hawkins, R., Schleiss, P., Arteconi, A., Mancini, A. (eds) Dependable Computing – EDCC 2024 Workshops. EDCC 2024. Communications in Computer and Information Science, vol 2078. Springer, Cham. doi: https://doi.org/10.1007/978-3-031-56776-6_6.

2023

[1] D. Mäckel, B. Kordus and C. Schumacher, "Comparison of priority rules, machine allocation, and stage allocation strategies for hybrid flow shop instances using combinatorial logic" In: Technical Programm of the International Conference on Operations Research, 2023. [Online] https://fiona.uni-hamburg.de/27c1a194/program-gor2023.pdf.

2022

[1] C. Schumacher and D. Mäckel, “A realistic hybrid flow shop scheduling problem with availability restrictions, priorities, and machine qualifications,” presented at the 18th International Workshop on Project Management and Scheduling, Ghent, Belgium, 2022. [Online]. Available: https://pms2022.sciencesconf.org/resource/page/id/11.

2021

[1] D. Mäckel, J. Winkels, and C. Schumacher, “Synthesis of Scheduling Heuristics by Composition and Recombination” in Optimization and Learning, vol. 1443, B. Dorronsoro, L. Amodeo, M. Pavone, and P. Ruiz, Eds., in Communications in Computer and Information Science, vol. 1443. , Cham: Springer International Publishing, 2021, pp. 283–293. doi: 10.1007/978-3-030-85672-4_21.