| Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems M Mes, M Van Der Heijden, A Van Harten European journal of operational research 181 (1), 59-75, 2007 | 212 | 2007 |
| A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics M Koot, MRK Mes, ME Iacob Computers & industrial engineering 154, 107076, 2021 | 186 | 2021 |
| Inventory routing for dynamic waste collection M Mes, M Schutten, AP Rivera Waste management 34 (9), 1564-1576, 2014 | 124 | 2014 |
| Multi-hop driver-parcel matching problem with time windows W Chen, M Mes, M Schutten Flexible services and manufacturing journal 30, 517-553, 2018 | 121 | 2018 |
| The delivery dispatching problem with time windows for urban consolidation centers WJA Van Heeswijk, MRK Mes, JMJ Schutten Transportation science 53 (1), 203-221, 2019 | 110 | 2019 |
| Synchromodal transport planning at a logistics service provider MRK Mes, ME Iacob Logistics and supply chain innovation: Bridging the gap between theory and …, 2016 | 98 | 2016 |
| Forecasting demand profiles of new products RM Van Steenbergen, MRK Mes Decision support systems 139, 113401, 2020 | 86 | 2020 |
| Anticipatory freight selection in intermodal long-haul round-trips AEP Rivera, MRK Mes Transportation Research Part E: Logistics and Transportation Review 105, 176-194, 2017 | 84 | 2017 |
| Cooperation in manure-based biogas production networks: An agent-based modeling approach DM Yazan, L Fraccascia, M Mes, H Zijm Applied energy 212, 820-833, 2018 | 72 | 2018 |
| Look-ahead strategies for dynamic pickup and delivery problems M Mes, M van der Heijden, P Schuur OR spectrum 32 (2), 395-421, 2010 | 69* | 2010 |
| A ride-sharing problem with meeting points and return restrictions W Chen, M Mes, M Schutten, J Quint Transportation science 53 (2), 401-426, 2019 | 67 | 2019 |
| Economic sustainability of biogas production from animal manure: a regional circular economy model DM Yazan, D Cafagna, L Fraccascia, M Mes, P Pontrandolfo, H Zijm Management research review 41 (5), 605-624, 2018 | 60 | 2018 |
| Approximate dynamic programming by practical examples MRK Mes, AP Rivera Markov decision processes in practice, 63-101, 2017 | 59 | 2017 |
| Patient admission planning using approximate dynamic programming PJH Hulshof, MRK Mes, RJ Boucherie, EW Hans Flexible services and manufacturing journal 28, 30-61, 2016 | 59* | 2016 |
| Interaction between intelligent agent strategies for real-time transportation planning M Mes, M van der Heijden, P Schuur Central European Journal of Operations Research, 1-22, 2011 | 52 | 2011 |
| Hierarchical knowledge gradient for sequential sampling MRK Mes, WB Powell, PI Frazier The Journal of Machine Learning Research 12, 2931-2974, 2011 | 51 | 2011 |
| Evaluating urban logistics schemes using agent-based simulation WJA Van Heeswijk, MRK Mes, JMJ Schutten, WHM Zijm Transportation science 54 (3), 651-675, 2020 | 47 | 2020 |
| Design of sustainable second-generation biomass supply chains DM Yazan, I van Duren, M Mes, S Kersten, J Clancy, H Zijm Biomass and Bioenergy 94, 173-186, 2016 | 47 | 2016 |
| Service and transfer selection for freights in a synchromodal network A Pérez Rivera, M Mes Computational Logistics: 7th International Conference, ICCL 2016, Lisbon …, 2016 | 45 | 2016 |
| Towards an approach for long term AIS-based prediction of vessel arrival times A Dobrkovic, ME Iacob, J van Hillegersberg, MRK Mes, M Glandrup Logistics and supply chain innovation: Bridging the Gap between theory and …, 2016 | 37 | 2016 |
Marco SchuttenUniversity of TwenteVerified email at utwente.nl
