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F.R. Akkerman (Fabian)

PhD Candidate

About Me

I am a PhD candidate in the section of Industrial Engineering and Business Information Systems (IEBIS) and obtained a master in Industrial Engineering and Management from the University of Twente in 2021.

I work in the general areas of operations management and machine learning. More specifically, my focus is on sequential decision-making under uncertainty for transportation and logistics management problems. My main methodological focus is on reinforcement learning and approximate dynamic programming.

My research involves the development of DynaPlex; an artificial intelligence toolbox containing various (deep) reinforcement learning algorithms that can be applied to a variety of dynamic data-driven logistics challenges. The DynaPlex project is in collaboration with the Eindhoven University of Technology and a wide range of companies.

Expertise

Engineering & Materials Science
Planning
Traveling Salesman Problem
Vehicle Routing
Business & Economics
Approximation
Cross-Docking
Vehicle Routing Problem
Mathematics
Planning
Service Levels

Publications

Recent
Akkerman, F. , Mes, M. , & Lalla-Ruiz, E. (2022). Dynamic Time Slot Pricing Using Delivery Costs Approximations. In J. de Armas, H. Ramalhinho, & S. Voß (Eds.), Computational Logistics: 13th International Conference, ICCL 2022, Barcelona, Spain, September 21–23, 2022, Proceedings (pp. 214–230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13557 LNCS). Springer. https://doi.org/10.1007/978-3-031-16579-5_15
Akkerman, F. , Lalla-Ruiz, E. , Mes, M., & Spitters, T. (2022). Cross-Docking: Current Research Versus Industry Practice and Industry 4.0 Adoption. In T. Bondarouk, & M. R. Olivas-Luján (Eds.), Smart Industry - Better Management (pp. 69-104). (Advanced Series in Management; Vol. 28). Emerald Group Holdings Ltd.. https://doi.org/10.1108/S1877-636120220000028007
Akkerman, F. , Mes, M., & Heijnen, W. (2020). Distance Approximation for Dynamic Waste Collection Planning. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (pp. 356-370). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433 LNCS). Springer. https://doi.org/10.1007/978-3-030-59747-4_23

UT Research Information System

Google Scholar Link

Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Current Projects

Contact Details

Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 3402
Hallenweg 17
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3402
P.O. Box 217
7500 AE Enschede
The Netherlands