Distance approximation to support customer selection in vehicle routing problems F Akkerman, M Mes Annals of operations research, 1-29, 2022 | 26 | 2022 |
Cross-docking: current research versus industry practice and industry 4.0 adoption F Akkerman, E Lalla-Ruiz, M Mes, T Spitters Smart Industry–Better Management, 69-104, 2022 | 24 | 2022 |
Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces F Akkerman, J Luy, W van Heeswijk, M Schiffer The Twelfth International Conference on Learning Representations, 2024 | 10* | 2024 |
Dynamic time slot pricing using delivery costs approximations F Akkerman, M Mes, E Lalla-Ruiz International Conference on Computational Logistics, 214-230, 2022 | 5* | 2022 |
Distance approximation for dynamic waste collection planning F Akkerman, M Mes, W Heijnen Computational Logistics: 11th International Conference, ICCL 2020, Enschede …, 2020 | 5 | 2020 |
Learning dynamic selection and pricing of out-of-home deliveries F Akkerman, P Dieter, M Mes Transportation Science, 2024 | 4 | 2024 |
Dynamic reordering and inspection for the multi-item Inventory Record Inaccuracy problem F Akkerman, D Prak, M Mes European Journal of Operational Research 321 (2), 428-444, 2025 | 1 | 2025 |
A comparison of reinforcement learning policies for dynamic vehicle routing problems with stochastic customer requests F Akkerman, M Mes, W van Jaarsveld Computers & Industrial Engineering 200, 110747, 2025 | 1* | 2025 |
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates F Akkerman, N Knofius, M van der Heijden, M Mes arXiv preprint arXiv:2410.03887, 2024 | 1 | 2024 |
Machine Learning for Sequential Decisions in Logistics FR Akkerman | | 2025 |