| Using the proximal policy optimisation algorithm for solving the stochastic capacitated lot sizing problem L Van Hezewijk, N Dellaert, T Van Woensel, N Gademann International Journal of Production Research 61 (6), 1955-1978, 2023 | 22 | 2023 |
| Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning K Geevers, L van Hezewijk, MRK Mes Central European Journal of Operations Research, 2023 | 6 | 2023 |
| On non-negative auto-correlated integer demand processes L van Hezewijk, N Dellaert, W van Jaarsveld arXiv preprint arXiv:2312.11273, 2023 | 1* | 2023 |
| Scalable Deep Reinforcement Learning in the Non-Stationary Capacitated Lot Sizing Problem L van Hezewijk, N Dellaert, W van Jaarsveld Available at SSRN 4846298, 0 | | |
| The Value of Accounting for Demand Uncertainty in Long-Term Production Planning: A Case Study using Stochastic Programming RM Dijkman, WL van Jaarsveld, L van Hezewijk, R Buitenhek | | |
| Implementing supply chain segmentation at P&G to improve supply chain performance L van Hezewijk | | |
Nico DellaertTechnische Universiteit EindhovenVerified email at tue.nl
