Dipl.-Ing. Dr.techn. Roland Braune, Privatdoz.
T: +43-1-4277-37955
Sommersemester 2024
Wintersemester 2023
Sommersemester 2023
040080 UK SOLV - Introduction to Python for Statistics
Kinast, A., Braune, R., Dörner, K. F., & Rinderle-Ma, S. (2023). Optimizing the Solution Quality of Metaheuristics Through Process Mining Based on Selected Problems from Operations Research. in C. Di Francescomarino, A. Burattin, C. Janiesch, & S. Sadiq (Hrsg.), Business Process Management Forum - BPM 2023 Forum, Proceedings (S. 232-248). Springer. Lecture Notes in Business Information Processing Band 490 https://doi.org/10.1007/978-3-031-41623-1_14
Braune, R. (2022). Packing-based branch-and-bound for discrete malleable task scheduling. Journal of Scheduling, 25(6), 675-704. https://doi.org/10.1007/s10951-022-00750-w
Braune, R., Gutjahr, W., & Vogl, P. (2022). Stochastic radiotherapy appointment scheduling. Central European Journal of Operations Research, 30(4), 1239-1277. https://doi.org/10.1007/s10100-021-00762-5
Kinast, A., Braune, R., Dörner, K. F., Rindlerle-Ma, S., & Weckenborg, C. (2022). A hybrid metaheuristic solution approach for the cobot assignment and job shop scheduling problem. Journal of Industrial Information Integration, 28, [100350]. https://doi.org/10.1016/j.jii.2022.100350
Braune, R., Benda, F., Dörner, K. F., & Hartl, R. (2022). A Genetic Programming Learning Approach to Generate Dispatching Rules for Flexible Shop Scheduling Problems. International Journal of Production Economics, 243, [108342]. https://doi.org/10.1016/j.ijpe.2021.108342
Schmaranzer, D., Braune, R., & Dörner, K. F. (2021). Multi-objective simulation optimization for complex urban mass rapid transit systems. Annals of Operations Research, 305(1), 449-486. https://doi.org/10.1007/s10479-019-03378-w
Schmaranzer, D., Braune, R., & Dörner, K. F. (2020). Population-based simulation optimization for urban mass rapid transit networks. Flexible Services and Manufacturing Journal, 32(4), 767–805. https://doi.org/10.1007/s10696-019-09352-9
Schmaranzer, D., Kiefer, A., Braune, R., & Dörner, K. F. (2020). Simulation-based replacement line and headway optimization. in Proceedings of the 2020 Winter Simulation Conference (S. 3069-3080). IEEE.
Benda, F., & Braune, R. (2020). Learning Approach to replace the Sample Average Approximation for Appointment Scheduling.
Benda, F., Braune, R., Dörner, K. F., & Hartl, R. (2019). A machine learning approach for flow shop scheduling problems with alternative resources, sequence-dependent setup times, and blocking. OR Spectrum, 41(4), 871-893. [47]. https://doi.org/10.1007/s00291-019-00567-8
Schmaranzer, D., Braune, R., & Dörner, K. F. (2019). Simulationsbasierte Mehrzieloptimierung im öffentlichen Personennahverkehr. in M. Prandtstetter, G. Reiner, F. P. Starkl, & T. Wakolbinger (Hrsg.), Jahrbuch der Logistikforschung: Trauner (S. 157-166)
Braune, R. (2019). Lower bounds for a bin packing problem with linear usage cost. European Journal of Operational Research, 274(1), 49-64. https://doi.org/10.1016/j.ejor.2018.10.004
Vogl, P., Braune, R., & Dörner, K. F. (2019). Scheduling Recurring Radiotherapy Appointments in an Ion Beam Facility: Considering Optional Activities and Time Window Constraints. Journal of Scheduling, 22(2), 137–154 . https://doi.org/10.1007/s10951-018-0574-0
Vogl, P., & Braune, R. (2019). Heuristic Decomposition Approach for Integrated Activity Selection and Skilled Staff Scheduling. Manuskript zur Veröffentlichung eingereicht.
Schmaranzer, D., Braune, R., & Dörner, K. F. (2018). Simulation-based Headway Optimization for a Subway Network: A Performance Comparison of Population-based Algorithms. in Winter Simulation Conference 2018 (S. 1957-1968). IEEE. https://doi.org/10.1109/WSC.2018.8632362
Vogl, P., Braune, R., & Dörner, K. F. (2018). A Multi-encoded Genetic Algorithm Approach to Scheduling Recurring Radiotherapy Treatment Activities with Alternative Resources, Optional Activities, and Time Window Constraints. 373-382. Beitrag in Sixteenth International Conference on Computer Aided Systems Theory - EUROCAST 2017, Las Palmas de Gran Canaria, Spanien. https://doi.org/10.1007/978-3-319-74718-7_45
Vogl, P., & Braune, R. (2018). Combined activity selection and skilled staff scheduling for the Red Cross blood donation services. 413-415. Beitrag in PATAT 2018, Wien, Österreich.
Braune, R., & Dörner, K. F. (2017). Real-world flexible resource profile scheduling with multiple criteria: learning scalarization functions for MIP and heuristic approaches. Journal of the Operational Research Society, 68(8), 952–972. https://doi.org/10.1057/s41274-017-0239-y
Schmaranzer, D., Braune, R., & Dörner, K. F. (2017). Simulation-based headway optimization of the Viennese urban subway network. in Metaheuristics: Proceedings of the MIC and MAEB 2017 Conference (S. 759-761). [93].
Vogl, P., Braune, R., & Dörner, K. F. (2017). Scheduling Recurring and Optional Activities for Radiotherapy Considering Stable Treatment Starting Times. in S. Albers, N. Megow, A. S. Schulz, & L. Stougie (Hrsg.), MAPSP 2017, The 13th Workshop on Models and Algorithms for Planning and Scheduling Problems (S. 146-148)
Classification-based algorithm selection for a multiprocessor scheduling problem
Roland Braune (Vortragende*r)
26 Aug. 2021
Aktivität: Vorträge › Vortrag › Science to Science
Machine learning-based algorithm selection for a scheduling problem with unit-time parallel tasks
Roland Braune (Vortragende*r)
12 Juli 2021
Aktivität: Vorträge › Vortrag › Science to Science
Machine Learning-based Queuing Model Regression - Example Selection, Feature Engineering and the Role of Traffic Intensity
Roland Braune (Vortragende*r)
21 Sep. 2020 → 24 Sep. 2020
Aktivität: Vorträge › Vortrag › Science to Science
Classification-based algorithm selection for a multiprocessor scheduling problem
Roland Braune (Vortragende*r)
15 Dez. 2019
Aktivität: Vorträge › Vortrag › Science to Science
Machine learning-based queuing model regression - example selection, feature engineering and the role of traffic intensity
Roland Braune (Vortragende*r)
5 Sep. 2019
Aktivität: Vorträge › Vortrag › Science to Science
Optimizing Material Flows in a Multi-period Supply Chain Network with Fixed Costs - Mathematical Formulation and Valid Inequalities
Roland Braune (Vortragende*r)
25 Juni 2019
Aktivität: Vorträge › Vortrag › Science to Science
Capacity Formulations for a Multi-period Network Design Problem
Roland Braune (Vortragende*r)
12 Sep. 2018
Aktivität: Vorträge › Vortrag › Science to Science
Automated scheduling of material tests in a chemical research lab - challenges, pitfalls and final implementation
Roland Braune (Vortragende*r)
17 Juli 2018
Aktivität: Vorträge › Vortrag › Science to Science
Aggregation and relaxation approaches for a multi-period network design problem
Roland Braune (Vortragende*r)
11 Juli 2018
Aktivität: Vorträge › Vortrag › Science to Science
Exact and heuristic approaches to a real-world multi-period network design problem
Roland Braune (Vortragende*r)
17 Juli 2017 → 21 Juli 2017
Aktivität: Vorträge › Vortrag › Science to Science
Lower bounds for a bin-packing problem with linear usage costs
Roland Braune (Vortragende*r)
6 Juli 2016
Aktivität: Vorträge › Vortrag › Andere
Scheduling chains of unit-time multiprocessor tasks with a weighted completion time objective
Roland Braune (Vortragende*r)
1 Sep. 2015 → 4 Sep. 2015
Aktivität: Vorträge › Vortrag › Science to Science
Packing-based approaches for a discrete malleable task scheduling problem
Roland Braune (Vortragende*r)
25 Aug. 2015 → 28 Aug. 2015
Aktivität: Vorträge › Vortrag › Science to Science
Institut für Business Decisions and Analytics
Oskar-Morgenstern-Platz 1
1090 Wien
Zimmer: 06.623
T: +43-1-4277-37955