The main role in my research is to model real-world systems in the best-possible way, to be able to obtain high-quality decisions by using the available information. This enables companies to improve their decision at operational, tactical, and strategical levels.
Murat Firat is an assistant professor in the Information Systems (IS) group at Eindhoven University of Technology (TU/e). His research interests fall into fields Artificial Intelligence and Operations Research. Some of the applications he has worked on are scheduling of manufacturing systems, multi-skilled workforce management, planning in transportation, modeling uncertainty in operations and services under poor quality of information, and designing rule-based systems using expert knowledge.
In his research, Murat:
- develops mathematical approaches employing Linear/Integer/Mixed Integer Programming models for operational decisions in scheduling and planning problems,
- develops exact approaches mainly using Dynamic Programming, Column Generation, and Branch-and-Bound type search,
- develops heuristic approaches mainly using Integer Programming, and techniques in Network and Linear Optimization.
- models the uncertainty even when sufficient information is not available
- develops predictive models for high-quality decision making
Murat Firat completed his bachelor study in the Mechanical Engineering of Bogazici University in Istanbul. Then he studied Master of Science in Systems and Control Engineering at the same university. During his master study, he worked as research and teaching assistant at the BUFAIM laboratory,
Murat obtained his PhD degree from Mathematics and Computer Science Department at TU/e. After completing his PhD study, he worked at France Telecom a post-doctoral researcher. Recently, he started leading the Business Process Intelligence (BPI) research cluster of the IS group. He is a member of the Information Systems Group, School of Industrial Engineering, TU/e and The Beta Research School for Operations Management and Logistics.
Murat publishes regularly in several leading journals and acts as a reviewer for Production and Operations Management, European Journal of Operational Research, Operations Research Letters, OR Spectrum, Annals of Operations Research, Computers and Operations Research, Flexible Services and Manufacturing Journal, International Journal of Production Research, International Journal of Production Economics, and The Service.
Modeling uncertainty in declarative artifact-centric process modelsBusiness Process Management Workshops (2019)
A reinforcement learning method to select ad networks in Waterfall Strategy11th International Conference on Agents and Artificial Intelligence, ICAART 2019 (2019)
A column generation approach for the shift design and rostering problem in airport ground handling(2018)
A Branch-and-Price approach to find optimal decision trees(2018)
Modeling uncertainty in declarative artifact-centric process models2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018) (2018)
- Data Challenge 2
- Algorithmic Programming for Operations Management
- Business analytics & decision support
No ancillary activities