Dr. Janis Brammer
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| Office Hours | ||||||
| On appointment | ||||||
| Vita | ||||||
| Since 11/2017 | Doctoral candidate, Volkswagen AG, Wolfsburg | |||||
| 10/2017 | Master's thesis: „Prediction of reconditioning costs of direct shift gear boxes at the example of the after sales enterprise at Volkswagen AG” | |||||
| 04/2017 – 10/2017 | Intern, Volkswagen AG, Kassel | |||||
| 10/2016 – 01/2017 | Semester abroad, École d'Ingénieur Généraliste en Informatique, Paris | |||||
| 11/2015 – 09/2016 | Working student, Deloitte Consulting GmbH, Hannover | |||||
| 10/2015 – 10/2017 | Master of Science in Business Information Systems, Georg-August-Universität Göttingen | |||||
| 08/2015 | Bachelor's thesis: „Predicting the success of open source projects“ | |||||
| 07/2015 – 10/2015 | Intern, Deloitte Consulting GmbH, Hannover | |||||
| 10/2012 – 08/2015 | Bachelor of Science in Business Information Systems, Georg-August-Universität | |||||
| Prizes and Awards | ||||||
| 10/2016 – 09/2017 | Deutschlandstipendium | |||||
Scientific publications
Journal Articles
Years: 2022 | 2021 back to the top of all publications
 back to the top of all publications2022
 back to the year overview
 back to the year overview- Brammer J, Lutz B, Neumann D
 Permutation Flow Shop Scheduling with Multiple Lines and Demand Plans Using Reinforcement Learning
 2022 European Journal of Operational Research, volume: 299, issue: 1, pages: 75 - 86
- Brammer J, Lutz B, Neumann D
 Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles
 2022 OR Spectrum, volume: 44, issue: 1, pages: 29 - 56
2021
 back to the year overview
 back to the year overview- Brammer J, Lutz B, Neumann D
 Solving the mixed model sequencing problem with reinforcement learning and metaheuristics
 2021 Computers & Industrial Engineering, volume: 162, issue: 107704
Talks
Years: 2019 back to the top of all publications
 back to the top of all publications2019
 back to the year overview
 back to the year overview- Brammer J, Lutz B, Neumann D
 Flow-Shop Scheduling with Demand Plans and Multiple Lines Using Reinforcement Learning
 2019 Conference on Information Systems and Technology, Seattle, USA
Credits: SILK Icons by http://www.famfamfam.com/lab/icons/silk/
