Expertises
Social Sciences
- Logistics
- Simulation
- Costs
- Problem
- Urban Areas
- Freight Transport
Computer Science
- Dynamic Programming
- Models
Organisaties
Publicaties
2024
Towards self-organizing logistics in transportation: a literature review and typology, 1309-1374. Gerrits, B., van Heeswijk, W. & Mes, M.https://doi.org/10.1111/itor.13408
2023
Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertainty, Article 104401. van Steenbergen, R. M., Mes, M. & van Heeswijk, W. J. A.https://doi.org/10.1016/j.trc.2023.104401The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian LogisticsIn Computational Logistics: 14th International Conference, ICCL 2023, Berlin, Germany, September 6–8, 2023, Proceedings (pp. 276-291). Springer. van Steenbergen, R. M., Lalla-Ruiz, E., van Heeswijk, W. J. A. & Mes, M.https://doi.org/10.1007/978-3-031-43612-3_17Scheduling Urban Infrastructure Renovation Projects to Minimize Traffic DisruptionIn 14th International Conference on Computational Logistics. Bosch, R., Rogetzer, P., van Heeswijk, W. J. A. & Mes, M.Handling Large Discrete Action Spaces via Dynamic Neighborhood Construction. ArXiv.org. Akkerman, F., Luy, J., Heeswijk, W. v. & Schiffer, M.https://arxiv.org/abs/2305.19891A Reference Use Case, Data Space Architecture, and Prototype for Smart Truck ParkingIn Proceedings of the 22nd CIAO! Doctoral Consortium, and Enterprise Engineering Working Conference Forum 2022 co-located with 12th Enterprise Engineering Working Conference (EEWC 2022), Article 1 (pp. 1-15). CEUR. Piest, J. P. S., Slavova, S. & van Heeswijk, W. J. A.https://ceur-ws.org/Vol-3388/paper1.pdfMethodology for Evaluating the Appropriateness of a Business Process for Robotic Process AutomationIn Impact of Artificial Intelligence in Business and Society: Opportunities and Challenges (pp. 105-133). Taylor & Francis. Abhishta, A., Berghuis, L., van Heeswijk, W. & Tursunbayeva, A.https://doi.org/10.4324/9781003304616-8
2022
Predicting truck parking occupancy using machine learning, 40-47. Slavova, S., Piest, J. P. S. & van Heeswijk, W. J. A.https://doi.org/10.1016/j.procs.2022.03.008Strategic bidding in freight transport using deep reinforcement learning (E-pub ahead of print/First online). van Heeswijk, W. J. A.https://doi.org/10.1007/s10479-022-04572-z
2021
Deep reinforcement learning in linear discrete action spacesIn Proceedings of the 2020 Winter Simulation Conference, WSC 2020, Article 9384078 (pp. 1063-1074). IEEE. van Heeswijk, W. & La Poutre, H.https://doi.org/10.1109/WSC48552.2020.9384078
Onderzoeksprofielen
Vakken collegejaar 2023/2024
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
- 191860181 - Risk Management
- 192320601 - Multi Agent Systems
- 194100060 - Master Thesis IE&M
- 201300059 - Internship BIT
- 201300062 - Structured Products
- 201500101 - Master Thesis Research Proposal
- 201500102 - Master Thesis Research Project
- 202000411 - Accounting and Finance
- 202000413 - Project Finance for Engineers
- 202000434 - BSc Research Assignment
- 202000454 - Financial Engineering for premaster IEM
- 202000576 - Research Proposal Bachelor Thesis IBA
- 202000579 - Bachelor Thesis IBA
- 202001464 - Thesis Preparation
- 202100233 - Reinforcement Learning with Applications
- 202300332 - Stochastic Optimization and Learning
Vakken collegejaar 2022/2023
- 191860181 - Risk Management
- 194100060 - Master Thesis IE&M
- 201300059 - Internship BIT
- 201300062 - Structured Products
- 201800004 - Operations Research Techniques 2
- 202000411 - Accounting and Finance
- 202000413 - Project Finance for Engineers
- 202000434 - BSc Research Assignment
- 202000454 - Financial Engineering for premaster IEM
- 202001464 - Thesis Preparation
- 202100233 - Reinforcement Learning with Applications