| New strategies for stochastic resource-constrained project scheduling S Rostami, S Creemers, R Leus Journal of Scheduling 21, 349-365, 2018 | 113 | 2018 |
| Minimizing the expected makespan of a project with stochastic activity durations under resource constraints S Creemers Journal of Scheduling 18, 263-273, 2015 | 107 | 2015 |
| Scheduling Markovian PERT networks to maximize the net present value S Creemers, R Leus, M Lambrecht Operations Research Letters 38 (1), 51-56, 2010 | 71 | 2010 |
| A new approach for quantitative risk analysis S Creemers, E Demeulemeester, S Van de Vonder Annals of Operations Research 213, 27-65, 2014 | 66 | 2014 |
| The optimal allocation of server time slots over different classes of patients S Creemers, J Beliën, M Lambrecht European Journal of Operational Research 219 (3), 508-521, 2012 | 65 | 2012 |
| A column generation approach for solving the examination-timetabling problem G Woumans, L De Boeck, J Beliën, S Creemers European Journal of Operational Research 253 (1), 178-194, 2016 | 59 | 2016 |
| Collaborative shipping under different cost-sharing agreements SVP Tinoco, S Creemers, RN Boute European Journal of Operational Research 263 (3), 827-837, 2017 | 58 | 2017 |
| Project planning with alternative technologies in uncertain environments S Creemers, B De Reyck, R Leus European Journal of Operational Research 242 (2), 465-476, 2015 | 56 | 2015 |
| Queueing models for appointment-driven systems S Creemers, M Lambrecht Annals of Operations Research 178, 155-172, 2010 | 47 | 2010 |
| Tri-vizor uses an efficient algorithm to identify collaborative shipping opportunities S Creemers, G Woumans, R Boute, J Beliën Interfaces 47 (3), 244-259, 2017 | 43 | 2017 |
| The preemptive stochastic resource-constrained project scheduling problem S Creemers European Journal of Operational Research 277 (1), 238-247, 2019 | 38 | 2019 |
| Modeling a healthcare system as a queueing network: the case of a Belgian hospital S Creemers, M Lambrecht Available at SSRN 1093618, 2007 | 37 | 2007 |
| An advanced queueing model to analyze appointment-driven service systems S Creemers, M Lambrecht Computers & Operations Research 36 (10), 2773-2785, 2009 | 35 | 2009 |
| Moments and distribution of the net present value of a serial project S Creemers European Journal of Operational Research 267 (3), 835-848, 2018 | 33 | 2018 |
| Dynamic order acceptance and capacity planning in a stochastic multi-project environment with a bottleneck resource P Melchiors, R Leus, S Creemers, R Kolisch International Journal of Production Research 56 (1-2), 459-475, 2018 | 29 | 2018 |
| Modeling a hospital queueing network S Creemers, M Lambrecht Queueing networks: A fundamental approach, 767-798, 2010 | 28 | 2010 |
| Extending the production dice game M Lambrecht, S Creemers, R Boute, R Leus International Journal of Operations & Production Management 32 (12), 1460-1472, 2012 | 27 | 2012 |
| Maximizing the expected net present value of a project with phase-type distributed activity durations: An efficient globally optimal solution procedure S Creemers European Journal of Operational Research 267 (1), 16-22, 2018 | 25 | 2018 |
| Collaborative shipping: logistics in the sharing economy J Beliën, R Boute, S Creemers, P De Bruecker, J Gijsbrechts, SVP Tinoco, ... HAL Post-Print, 2017 | 18 | 2017 |
| Evaluation of appointment scheduling rules: A multi-performance measurement approach S Creemers, MR Lambrecht, J Beliën, M Van den Broeke Omega 100, 102231, 2021 | 17 | 2021 |
