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2025
Machine Learning for Sequential Decisions in Logistics (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Akkerman, F. R.https://doi.org/10.3990/1.9789036565349Dynamic reordering and inspection for the multi-item Inventory Record Inaccuracy problem (2025)European journal of operational research, 321(2), 428-444. Akkerman, F., Prak, D. & Mes, M.https://doi.org/10.1016/j.ejor.2024.09.033A comparison of reinforcement learning policies for dynamic vehicle routing problems with stochastic customer requests (2025)Computers & industrial engineering, 200. Article 110747. Akkerman, F., Mes, M. & van Jaarsveld, W.https://doi.org/10.1016/j.cie.2024.110747
2024
Circular Construction Ecosystems: Designing a Circularity Information Platform for the Built Environment (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Yu, Y.https://doi.org/10.3990/1.9789036563970Learning Dynamic Selection and Pricing of Out-of-Home Deliveries (2024)Transportation science (E-pub ahead of print/First online). Akkerman, F., Dieter, P. & Mes, M.https://doi.org/10.1287/trsc.2023.0434Smart logistics nodes: concept and classification (2024)International Journal of Logistics Research and Applications, 27(11), 1984-2020. Brunetti, M., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1080/13675567.2024.2327394Design Implications for Integrating AI Chatbot Technology with Learning Management Systems: A Study-based Analysis on Perceived Benefits and Challenges in Higher Education (2024)In ICAITE 2024: Proceedings of the 2024 International Conference on Artificial Intelligence and Teacher Education (pp. 1-8). ACM Press. Sedrakyan, G., Borsci, S., Machado, M., Rogetzer, P. & Mes, M.https://doi.org/10.1145/3702386.3702405Evaluation and Coordination of UAVs in Humanitarian Logistics (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. van Steenbergen, R. M.https://doi.org/10.3990/1.9789036562232Multi-echelon inventory optimization using deep reinforcement learning (2024)Central European journal of operations research, 32(3), 653-683. Geevers, K., van Hezewijk, L. & Mes, M. R. K.https://doi.org/10.1007/s10100-023-00872-2Enhancing Inter-Terminal Transport via Early Information (2024)In Business Analytics and Decision Making in Practice: Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE (pp. 215-227) (Lecture Notes in Operations Research; Vol. Part F3798). Springer Nature Brazil. Brunetti, M., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/978-3-031-61589-4_18Autonomous Multimodal Last-Mile Delivery Systems (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Campuzano, G.https://doi.org/10.3990/1.9789036562010Condition-Based Logistics: Internet of Things Solutions for Resilient Supply Chains (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Koot, M.https://doi.org/10.3990/1.9789036561075Towards self-organizing logistics in transportation: a literature review and typology (2024)International transactions in operational research, 31(3), 1309-1374. Gerrits, B., van Heeswijk, W. & Mes, M.https://doi.org/10.1111/itor.13408The drone-assisted vehicle routing problem with robot stations (2024)Expert systems with applications, 238. Article 121741. Morim, A., Campuzano, G., Amorim, P., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1016/j.eswa.2023.121741A Simulation Model For Bio-Inspired Charging Strategies For Electric Vehicles In Industrial Areas (2024)In 2023 Winter Simulation Conference, WSC 2023 (pp. 197-208) (Proceedings - Winter Simulation Conference). IEEE. Gerrits, B., Mes, M. & Andringa, R.https://doi.org/10.1109/WSC60868.2023.10408631A Flexible Educational Simulation Model to Study Autonomous Last-Mile Logistics (2024)In Winter Simulation Conference, WSC 2024 (pp. 3118-3129). IEEE. Gerrits, B. & Mes, M.https://doi.org/10.1109/WSC63780.2024.10838877Building an Ontological Bridge Between Supply Chain Resilience and IoT Applications (2024)In Enterprise Design, Operations, and Computing: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 79-96) (Lecture Notes in Computer Science). Springer. Koot, M., Mes, M. R. K. & Iacob, M. E.https://doi.org/10.1007/978-3-031-46587-1_5
2023
Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertainty (2023)Transportation research. Part C: Emerging technologies, 157. Article 104401. van Steenbergen, R. M., Mes, M. & van Heeswijk, W. J. A.https://doi.org/10.1016/j.trc.2023.104401The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs (2023)[Working paper › Working paper]. ArXiv.org. van Steenbergen, R. M., van Heeswijk, W. J. A. & Mes, M.https://doi.org/10.48550/arXiv.2312.00140Approximate dynamic programming for container stacking (2023)European journal of operational research, 310(1), 328-342. Boschma, R., Mes, M. R. K. & de Vries, L. R.https://doi.org/10.1016/j.ejor.2023.02.034The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian Logistics (2023)In Computational Logistics: 14th International Conference, ICCL 2023, Berlin, Germany, September 6–8, 2023, Proceedings (pp. 276-291) (Lecture Notes in Computer Science; Vol. 14239). 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 Disruption (2023)In 14th International Conference on Computational Logistics. Bosch, R., Rogetzer, P., van Heeswijk, W. J. A. & Mes, M.Towards a Reference Architecture for Planning and Control Services (2023)In Advances in Enterprise Engineering XVI: 12th Enterprise Engineering Working Conference, EEWC 2022, Revised Selected Papers (pp. 121-138) (Lecture Notes in Business Information Processing; Vol. 473 LNBIP). Springer. Pourmehdi, M., Iacob, M. E. & Mes, M. R. K.https://doi.org/10.1007/978-3-031-34175-5_8Self-Organizing Logistics: Towards a Unifying Framework for Automated Transport Systems (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Gerrits, B.https://doi.org/10.3990/1.9789036555555Variations in Urban Traffic (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Eikenbroek, O. A. L.https://doi.org/10.3990/1.9789055843213The drone-assisted variable speed asymmetric traveling salesman problem (2023)Computers & industrial engineering, 176. Article 109003. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1016/j.cie.2023.109003A Simulation Model for Cooperative Robotics in Dairy Farms (2023)In 2022 Winter Simulation Conference (WSC) (pp. 831-842) (Proceedings - Winter Simulation Conference; Vol. 2022-December). IEEE. Gerrits, B., Mes, M., Schuur, P. & Andringa, R.https://doi.org/10.1109/WSC57314.2022.10015409Simulation of the Internal Electric Fleet Dispatching Problem at a Seaport: A Reinforcement Learning Approach (2023)In 2022 Winter Simulation Conference (pp. 2675-2686) (Proceedings - Winter Simulation Conference; Vol. 2022-December). IEEE. Brunetti, M., Campuzano, G. & Mes, M.https://doi.org/10.1109/WSC57314.2022.10015516
2022
A Markov decision process approach for managing medical drone deliveries (2022)Expert systems with applications, 204. Article 117490. Asadi, A., Pinkley, S. N. & Mes, M.https://doi.org/10.1016/j.eswa.2022.117490The Dynamic Drone Scheduling Delivery Problem (2022)In Computational Logistics - 13th International Conference, ICCL 2022, Proceedings (pp. 260-274) (Lecture Notes in Computer Science; Vol. 13557). Springer. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/978-3-031-16579-5_18A Comparison of Reinforcement Learning Policies for Dynamic Vehicle Routing Problems with Stochastic Customer Requests (2022)[Working paper › Working paper]. Akkerman, F., Mes, M. & van Jaarsveld, W.Cross-Docking: Current Research Versus Industry Practice and Industry 4.0 Adoption (2022)In Smart Industry - Better Management (pp. 69-104) (Advanced Series in Management; Vol. 28). Emerald. Akkerman, F., Lalla-Ruiz, E., Mes, M. & Spitters, T.https://doi.org/10.1108/S1877-636120220000028007Anticipatory scheduling of synchromodal transport using approximate dynamic programming (2022)Annals of operations research (E-pub ahead of print/First online). Rivera, A. E. P. & Mes, M. R. K.https://doi.org/10.1007/s10479-022-04668-6Distance approximation to support customer selection in vehicle routing problems (2022)Annals of operations research (E-pub ahead of print/First online). Akkerman, F. & Mes, M.https://doi.org/10.1007/s10479-022-04674-8Dynamic Time Slot Pricing Using Delivery Costs Approximations (2022)In Computational Logistics: 13th International Conference, ICCL 2022, Barcelona, Spain, September 21–23, 2022, Proceedings (pp. 214–230) (Lecture Notes in Computer Science; Vol. 13557). Springer. Akkerman, F., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1007/978-3-031-16579-5_15
2021
A holistic technological eco-innovation methodology for industrial symbiosis development (2021)Sustainable Production and Consumption, 28, 1538-1551. Castiglione, C., Yazan, D. M., Alfieri, A. & Mes, M.https://doi.org/10.1016/j.spc.2021.09.002A Multi-start VNS Algorithm for the TSP-D with Energy Constraints (2021)In Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 393-409) (Lecture Notes in Computer Science; Vol. 13004). Springer. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/978-3-030-87672-2_26Optimization of Green Pickup and Delivery Operations in Multi-depot Distribution Problems (2021)In Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 487-501) (Lecture Notes in Computer Science; Vol. 13004). Springer. Gil, A. F., Lalla-Ruiz, E., Mes, M. & Castro, C.https://doi.org/10.1007/978-3-030-87672-2_32A Reference Architecture for IoT-Enabled Dynamic Planning in Smart Logistics (2021)In Advanced Information Systems Engineering - 33rd International Conference, CAiSE 2021, Proceedings: 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings (pp. 551-565) (Lecture Notes in Computer Science; Vol. 12751). Springer. Koot, M., Iacob, M.-E. & Mes, M. R. K.https://doi.org/10.1007/978-3-030-79382-1_33Data underlying the paper: Using agent-based simulation for emergent behavior detection in cyber-physical systems (2021)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Bemthuis, R., Mes, M. R. K., Iacob, M. E. & Havinga, P. J. M.https://doi.org/10.4121/14743263A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics (2021)Computers & industrial engineering, 154. Article 107076. Koot, M., Mes, M. & Iacob, M. E.https://doi.org/10.1016/j.cie.2020.107076A Quantitative Analysis of Integrated Emergency Posts (2021)In Handbook of Healthcare Logistics (pp. 201-229) (International Series in Operations Research and Management Science; Vol. 302). Springer. Mes, M. R. K., Vliegen, I. M. H. & Doggen, C. J. M.https://doi.org/10.1007/978-3-030-60212-3_11Mixing it Up: Simulation of Mixed Traffic Container Terminals (2021)In Proceedings of the 2020 Winter Simulation Conference, WSC 2020 (pp. 1384-1395). Article 9384068 (Proceedings - Winter Simulation Conference; Vol. 2020-December). IEEE. Gerrits, B., Mes, M. & Schuur, P.https://doi.org/10.1109/WSC48552.2020.9384068Using agent-based simulation for emergent behavior detection in cyber-physical systems (2021)In Proceedings of the 2020 Winter Simulation Conference, WSC (pp. 230-241). Article 9383956. IEEE. Bemthuis, R., Mes, M., Iacob, M. E. & Havinga, P. J. M.https://doi.org/10.1109/WSC48552.2020.9383956Network Generation for Simulation of Multimodal Logistics Systems (2021)In 2021 Winter Simulation Conference (WSC). IEEE. van Steenbergen, R. M., Brunetti, M. & Mes, M.https://doi.org/10.1109/WSC52266.2021.9715497Mathematical formulations and improvements for the multi-depot open vehicle routing problem (2021)Optimization Letters, 15(1), 271-286. Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/s11590-020-01594-zPreface (2021)In Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. v-vi) (Lecture Notes in Computer Science; Vol. 13004). Mes, M., Lalla-Ruiz, E. & Voß, S.
2020
A General Simulation Framework for Smart Yards (2020)In Proceedings of the 2020 Winter Simulation Conference, WSC 2020 (pp. 2743-2754). Article 9383928 (Proceedings - Winter Simulation Conference, WSC; Vol. 2020). IEEE. Brunetti, M., Mes, M. & van Heuveln, J.https://doi.org/10.1109/WSC48552.2020.9383928Forecasting demand profiles of new products (2020)Decision support systems, 139. Article 113401. van Steenbergen, R. M. & Mes, M. R. K.https://doi.org/10.1016/j.dss.2020.113401Comparison of Manual and Automated Decision-Making with a Logistics Serious Game (2020)In Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (pp. 698-714) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433 LNCS). Springer. Mes, M. & van Heeswijk, W.https://doi.org/10.1007/978-3-030-59747-4_45Distance Approximation for Dynamic Waste Collection Planning (2020)In Computational Logistics: 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (pp. 356-370) (Lecture Notes in Computer Science; Vol. 12433). Springer. Akkerman, F., Mes, M. & Heijnen, W.https://doi.org/10.1007/978-3-030-59747-4_23Preface of Computational Logistics book (2020)In Computational Logistics: 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (pp. v-vi) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433). Springer. Lalla-Ruiz, E., Mes, M. & Voß, S.Solving a Bi-Objective Rich Vehicle Routing Problem with Customer Prioritization (2020)In Computational Logistics: 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (pp. 183-199) (Lecture notes in computer science; Vol. 12433). Springer. van Benthem, T., Bergman, M. & Mes, M.https://doi.org/10.1007/978-3-030-59747-4_12A synthetic data set with new product demand and characteristics (2020)[Dataset Types › Dataset]. Mendeley. van Steenbergen, R. M. & Mes, M. R. K.https://doi.org/10.17632/g3v9xcxjgc.1Online capacity planning for rehabilitation treatments: an approximate dynamic programming approach (2020)Probability in the engineering and informational sciences, 34(3), 381-405. Bikker, I. A., Mes, M., Sauré, A. & Boucherie, R.https://doi.org/10.1017/S0269964818000402Bi-Objective Rich Vehicle Routing Problem with Customer Prioritization (2020)[Working paper › Working paper]. University of Twente. van Benthem, T., Bergman, M. & Mes, M.Distance Approximation for Dynamic Waste Collection Planning (2020)[Working paper › Working paper]. Mes, M., Heijnen, W. & Akkerman, F.Evaluating urban logistics schemes using agent-based simulation (2020)Transportation science, 54(3), 651-675. van Heeswijk, W. J. A., Mes, M., Schutten, M. & Zijm, H.https://doi.org/10.1287/trsc.2019.0971Simulation of Real-Time and Opportunistic Truck Platooning at the Port of Rotterdam (2020)In 2019 Winter Simulation Conference, WSC 2019 (pp. 133-144). Article 9004852. IEEE. Gerrits, B., Mes, M. & Schuur, P.https://doi.org/10.1109/WSC40007.2019.9004852Simulation solution validation for an integrated emergency post (2020)In 2019 Winter Simulation Conference (WSC) (pp. 1160-1171). Article 9004705. Mes, M. & Koot, M.https://doi.org/10.1109/WSC40007.2019.9004705A Simulation Framework For UAV-Aided Humanitarian Logistics (2020)[Contribution to conference › Paper] Winter Simulation Conference, WSC 2020. van Steenbergen, R. M. & Mes, M.Solving a Bi-Objective Rich Vehicle Routing Problem with Customer Prioritization (2020)[Contribution to conference › Abstract] 11th International Conference on Computational Logistics, ICCL 2020. van Benthem, T., Bergman, M. & Mes, M.
2019
An Agent-Based Process Mining Architecture for Emergent Behavior Analysis (2019)In 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 54-64). Article 8907303 (Proceedings IEEE International Enterprise Distributed Object Computing Workshop (EDOCW); Vol. 23). IEEE. Bemthuis, R. H., Koot, M., Mes, M. R. K., Bukhsh, F. A., Iacob, M.-E. & Meratnia, N.https://doi.org/10.1109/EDOCW.2019.00022Integrated scheduling of drayage and long-haul operations in synchromodal transport (2019)Flexible services and manufacturing journal, 31(3), 763-806. Pérez Rivera, A. E. & Mes, M. R. K.https://doi.org/10.1007/s10696-019-09336-9Data underlying the paper: An agent-based process mining architecture for emergent behavior analysis (2019)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Bemthuis, R., Koot, M., Mes, M. R. K., Bukhsh, F. A., Iacob, M. E. & Meratnia, N.https://doi.org/10.4121/uuid:9e430177-1dd0-40e9-b48a-8eb39124ef4cA Ride-Sharing Problem with Meeting Points and Return Restrictions (2019)Transportation science, 53(2), 401-426. Chen, W., Mes, M., Schutten, M. & Quint, J.https://doi.org/10.1287/trsc.2018.0832A Ride-Sharing Problem with Meeting Points and Return Restrictions (2019)Transportation science, 53(2), 401-426. Chen, W., Mes, M., Schutten, J. M. J. & Quint, J.https://doi.org/10.1287/trsc.2018.0832A simulation model for the planning and control of AGVs at automated container terminals (2019)In WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause (pp. 2941-2952). Article 8632529. IEEE. Gerrits, B., Mes, M. & Schuur, P.https://doi.org/10.1109/WSC.2018.8632529Bayesian exploration for approximate dynamic programming (2019)Operations research, 67(1), 198-214. Ryzhov, I. O., Mes, M. R. K., Powell, W. B. & van den Berg, G.https://doi.org/10.1287/opre.2018.1772Multi-agent Systems (2019)In Operations, Logistics and Supply Chain Management (pp. 611-636) (Lecture Notes in Logistics). Springer. Mes, M. & Gerrits, B.https://doi.org/10.1007/978-3-319-92447-2_27Online route planning in response to non-recurrent traffic disturbances (2019)[Contribution to conference › Abstract] 30th European Conference on Operational Research, EURO 2019. Eikenbroek, O., Mes, M. & van Berkum, E.Pattern Recognition in Urban Traffic Flows (2019)[Contribution to conference › Poster] 98th Transportation Research Board (TRB) Annual Meeting 2019. Eikenbroek, O. A. L., Mes, M. & van Berkum, E. C.The delivery dispatching problem with time windows for urban consolidation centers (2019)Transportation science, 53(1), 203-221. van Heeswijk, W. J. A., Mes, M. R. K. & Schutten, J. M. J.https://doi.org/10.1287/trsc.2017.0773Transportation Management (2019)In Operations, Logistics and Supply Chain Management (pp. 469-491) (Lecture notes in logistics). Springer. van Heeswijk, W., Mes, M. & Schutten, M.https://doi.org/10.1007/978-3-319-92447-2_21
2018
Freight consolidation in intermodal networks with reloads (2018)Flexible services and manufacturing journal, 30(3), 452-485. van Heeswijk, W. J. A., Mes, M. R. K., Schutten, J. M. J. & Zijm, W. H. M.https://doi.org/10.1007/s10696-016-9259-1Multi-hop driver-parcel matching problem with time windows (2018)Flexible services and manufacturing journal, 30(3), 517-553. Chen, W., Mes, M. & Schutten, M.https://doi.org/10.1007/s10696-016-9273-3Anticipatory freight scheduling in synchromodal transport (2018)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Pérez Rivera, A. E.https://doi.org/10.3990/1.9789036545716Cooperation in manure-based biogas production networks: An agent-based modeling approach (2018)Applied energy, 212, 820-833. Yazan, D. M., Fraccascia, L., Mes, M. & Zijm, H.https://doi.org/10.1016/j.apenergy.2017.12.074An agent-based simulation model for autonomous trailer docking (2018)In 2017 Winter Simulation Conference (WSC) (pp. 1324-1335). IEEE. Gerrits, B., Mes, M. & Schuur, P. C.https://doi.org/10.1109/WSC.2017.8247877Economic sustainability of biogas production from animal manure: a regional circular economy model (2018)Management research review, 41(5), 605-624. Yazan, D. M., Cafagna, D., Fraccascia, L., Mes, M., Pontrandolfo, P. & Zijm, H.https://doi.org/10.1108/MRR-02-2018-0053
2017
Anticipatory freight selection in intermodal long-haul round-trips (2017)Transportation research. Part E: Logistics and transportation review, 105, 176-194. Pérez Rivera, A. E. & Mes, M. R. K.https://doi.org/10.1016/j.tre.2016.09.002Simulation Modelling using Practical Examples: A Plant Simulation Tutorial (2017)[Book/Report › Report]. University of Twente. Mes, M.Consolidation and coordination in urban freight transport (2017)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. van Heeswijk, W. J. A.https://doi.org/10.3990/1.9789036543132Approximate Dynamic Programming by Practical Examples (2017)In Markov Decision Processes in Practice (pp. 63-101) (International Series in Operations Research & Management Science). Springer. Mes, M. R. K. & Perez Rivera, A. E.https://doi.org/10.1007/978-3-319-47766-4_3Scheduling drayage operations in synchromodal transport (2017)In Computational Logistics: 8th International Conference, ICCL 2017, Proceedings (pp. 404-419) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10572 LNCS). Springer. Rivera, A. E. P. & Mes, M. R. K.https://doi.org/10.1007/978-3-319-68496-3_27
2016
Agent-based support for container terminals to make appointments with barges (2016)In Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings (pp. 80-95) (Lecture Notes in Computer Science; Vol. 9855). Springer. Mes, M. & Douma, A.https://doi.org/10.1007/978-3-319-44896-1_6An agent-based simulation framework to evaluate urban logistics schemes (2016)In Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings (pp. 369-383) (Lecture Notes in Computer Science; Vol. 9855). Springer. van Heeswijk, W. J. A., Mes, M. R. K. & Schutten, J. M. J.https://doi.org/10.1007/978-3-319-44896-1_24Service and transfer selection for freights in a synchromodal network (2016)In Computational Logistics: 7th International Conference, ICCL 2016, Lisbon, Portugal, September 7-9, 2016, Proceedings (pp. 227-242) (Lecture Notes in Computer Science; Vol. 9855). Springer. Pérez Rivera, A. & Mes, M.https://doi.org/10.1007/978-3-319-44896-1_15An Agent-Based Simulation Study on the Effectiveness of Urban Consolidation Initiatives (2016)[Contribution to conference › Paper] TRISTAN 2016 . van Heeswijk, W. J. A., Mes, M. R. K. & Schutten, J. M. J.Pre- and end-haulage operations in a multi-depot and multi-resource synchromodal network (2016)[Contribution to conference › Paper] TRISTAN 2016 . Perez Rivera, A. E. & Mes, M. R. K.Cooperation in manure-based biogas production networks: An agent-based modelling approach (2016)[Contribution to conference › Paper] ILS 2016 . Yazan, D., Fraccascia, L., Mes, M. & Zijm, H.Patient admission planning using Approximate Dynamic Programming (2016)Flexible services and manufacturing journal, 28(1), 30-61. Hulshof, P. J. H., Mes, M. R. K., Boucherie, R. J. & Hans, E. W.https://doi.org/10.1007/s10696-015-9219-1A ride-sharing problem with meeting points and return restrictions (2016)[Book/Report › Report]. TU Eindhoven, Research School for Operations Management and Logistics (BETA). Chen, W., Mes, M. R. K., Schutten, J. M. J. & Quint, J.http://onderzoeksschool-beta.nl/wp-content/uploads/wp_516.pdfAn agent-based simulation framework to evaluate urban logistics scheme (2016)[Book/Report › Report]. TU Eindhoven, Research School for Operations Management and Logistics (BETA). van Heeswijk, W. J. A., Mes, M. R. K. & Schutten, J. M. J.http://onderzoeksschool-beta.nl/wp-content/uploads/wp_501-.pdfApproximate dynamic programming by practical examples (2016)[Book/Report › Report]. TU Eindhoven, Research School for Operations Management and Logistics (BETA). Mes, M. R. K. & Perez Rivera, A. E.http://onderzoeksschool-beta.nl/wp-content/uploads/wp_495-.pdfDesign of sustainable second-generation biomass supply chains (2016)Biomass & bioenergy, 94, 173-186. Yazan, D. M., van Duren, I. C., Mes, M., Kersten, S., Clancy, J. & Zijm, H.https://doi.org/10.1016/j.biombioe.2016.08.004Dynamic multi-period freight consolidation (2016)[Book/Report › Report]. TU Eindhoven, Research School for Operations Management and Logistics (BETA). Perez Rivera, A. E. & Mes, M. R. K.http://onderzoeksschool-beta.nl/wp-content/uploads/wp_473-.pdfDynamische afvalinzameling: efficiënter en slimmer (2016)STAtOR, 17(3), 18-21. Mes, M. R. K. & Schutten, J. M. J.Multi-hop driver-parcel matching problem with time windows (2016)[Book/Report › Report]. University of Twente, Research School for Operations Management and Logistics (BETA). Chen, W., Mes, M. R. K. & Schutten, J. M. J.http://onderzoeksschool-beta.nl/wp-content/uploads/wp_507-.pdfService and transfer selection for freights in a synchromodal network (2016)[Book/Report › Report]. TU Eindhoven, Research School for Operations Management and Logistics (BETA). Perez Rivera, A. E. & Mes, M. R. K.http://onderzoeksschool-beta.nl/wp-content/uploads/wp_504-.pdfSimulation of a multi-agent system for autonomous trailer docking (2016)[Book/Report › Report]. BETA Research School for Operations Management and Logistics. Gerrits, B., Mes, M. R. K. & Schuur, P.http://onderzoeksschool-beta.nl/wp-content/uploads/wp_503-.pdfSynchromodal Transport Planning at a Logistics Service Provider (2016)In Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice (pp. 23-36) (Lecture Notes in Logistics). Springer. Mes, M. R. K. & Iacob, M. E.https://doi.org/10.1007/978-3-319-22288-2_2
2015
Economic sustainability of biogas production from animal manure: A regional circular economy model (2015)[Contribution to conference › Paper] International Symposium on Circular Economy inspiring Sustainable Innovation 2015. Yazan, D. M., Cafagna, D., Mes, M., Fraccascia, L., Ponfrandolfo, P. & Zijm, H.Consolidation and Last-mile Costs Reduction in Intermodal Transport (2015)[Contribution to conference › Paper] INFORMS Annual Meeting 2015. Mes, M. R. K.Freight consolidation in urban networks with transshipments (2015)[Contribution to conference › Paper] 4th INFORMS Transportation Science and Logistics Society Workshop. van Heeswijk, W. J. A., Mes, M. R. K. & Schutten, J. M. J.An approximate dynamic programming approach to urban freight distribution with batch arrivals (2015)[Book/Report › Report]. BETA Research School for Operations Management and Logistics. van Heeswijk, W., Mes, M. & Schutten, M.An approximate dynamic programming approach to urban freight distribution with batch arrivals (2015)In Computational Logistics: 6th International Conference, ICCL 2015, Delft, The Netherlands, September 23-25, 2015, Proceedings (pp. 61-75) (Lecture Notes in Computer Science; Vol. 9335). Springer. van Heeswijk, W., Mes, M. & Schutten, M.https://doi.org/10.1007/978-3-319-24264-4_5Anticipatory freight selection in intermodal long-haul round-trips (2015)[Book/Report › Report]. BETA Research School for Operations Management and Logistics. Pérez Rivera, A. E. & Mes, M. R. K.Dynamic Multi-period Freight Consolidation (2015)In Computational Logistics: 6th International Conference, ICCL 2015, Delft, The Netherlands, September 23-25, 2015, Proceedings (pp. 370-385) (Lecture Notes in Computer Science; Vol. 9335). Springer. Pérez Rivera, A. & Mes, M.https://doi.org/10.1007/978-3-319-24264-4_26Simulation framework to analyze Operating Room release mechanisms. (2015)[Contribution to conference › Paper] 2015 Winter Simulation Conference. van der Kooij, R., Mes, M. R. K. & Hans, E. W.The delivery dispatching problem with time windows for urban consolidation centers (2015)[Book/Report › Report]. BETA Research School for Operations Management and Logistics. van Heeswijk, W. J. A., Mes, M. R. K. & Schutten, J. M. J.Towards an Approach for Long Term AIS-Based Prediction of Vessel Arrival Times (2015)In Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice (pp. 281-294) (Lecture notes in logistics). Springer. Dobrkovic, A., Iacob, M. E., van Hillegersberg, J., Mes, M. R. K. & Glandrup, M.https://doi.org/10.1007/978-3-319-22288-2_16
2014
Integrated Tactical and Operational Planning of Police Helicopters. (2014)[Contribution to conference › Paper] INFORMS Annual Meeting 2014. Mes, M. R. K.Improving the design and operation of an integrated emergency post via simulation (2014)Journal of simulation, 9(2, SI), 99-110. Borgman, N. J., Mes, M. R. K., Vliegen, I. & Hans, E. W.https://doi.org/10.1057/jos.2014.5Tactical Planning in Healthcare using Approximate Dynamic Programming. (2014)[Contribution to conference › Paper] CHOIR Seminar. Mes, M. R. K.A distributed barge planning game (2014)In Frontiers in gaming simulation: : 44th International Simulation and Gaming Association Conference, ISAGA 2013 and 17th IFIP WG 5.7 Workshop on Experimental Interactive Learning in Industrial Management, Stockholm, Sweden, June 24-28, 2013. Revised Selected Papers (pp. 214-221) (Lecture notes in computer science; Vol. 8264). Springer. Mes, M. R. K., Iacob, M. E. & van Hillegersberg, J.https://doi.org/10.1007/978-3-319-04954-0_25A unified race algorithm for offline parameter tuning (2014)In Proceedings of the 2014 Winter Simulation Conference (WSC '14) (pp. 3971-3982) (Proceedings of the Winter Simulation Conference; Vol. 2014). IEEE. van Dijk, T., Mes, M., Schutten, M. & Gromicho, J.https://doi.org/10.1109/WSC.2014.7020222A unified race algorithm for offline parameter tuning (2014)[Book/Report › Report]. BETA. van Dijk, T., Mes, M. R. K., Schutten, J. M. J. & Gromicho, J.Freight consolidation in networkds with transshipments (2014)[Book/Report › Report]. BETA. van Heeswijk, W. J. A., Mes, M. R. K., Schutten, J. M. J. & Zijm, W. H. M.http://beta.ieis.tue.nl/node/2180Inventory routing for dynamic waste collection (2014)Waste management, 34(9), 1564-1576. Mes, M. R. K., Schutten, J. M. J. & Perez Rivera, A. E.https://doi.org/10.1016/j.wasman.2014.05.011Simulation Framework to Analyse Operating Room Release Mechanisms. (2014)In Proceedings of the 2014 Winter Simulation Conference. (pp. -). IEEE. van der Kooij, R., Mes, M. R. K. & Hans, E. W.
2013
Tactical Planning in Healthcare with Approximate Dynamic Programming (2013)[Contribution to conference › Paper] INFORMS Annual Meeting 2013. Mes, M. R. K.Interaction between intelligent agent strategies for real-time transportation planning (2013)Central European journal of operations research, 21(2), 337-358. Mes, M. R. K., van der Heijden, M. C. & Schuur, P.https://doi.org/10.1007/s10100-011-0230-7Tactical planning in healthcare using approximate dynamic programming (2013)[Book/Report › Report]. University of Twente. Hulshof, P. J. H., Mes, M. R. K., Boucherie, R. J. & Hans, E. W.Synchromodal Transport Planning (2013)[Contribution to conference › Paper] VeRoLog 2013. Mes, M. R. K.A comparative supply chain sustainability evaluation of mobile pyrolysis plants and pyrolysis-based bio-refineries (2013)[Contribution to conference › Abstract] Symposium Biorefinery for Food, Fuel and Materials 2013. Murat Yazan, D., Kooijman, A., Clancy, J., Kersten, S., Zijm, H., Mes, M. & van Duren, I.Anticipatory routing of police helicopters (2013)Expert systems with applications, 40(17), 6938-6947. van Urk, R., van Urk, R., Mes, M. R. K. & Hans, E. W.https://doi.org/10.1016/j.eswa.2013.06.044Inventory routing for dynamic waste collection (2013)[Book/Report › Report]. University of Twente. Mes, M. R. K., Schutten, J. M. J. & Perez Rivera, A. E.http://beta.ieis.tue.nl/node/2120Optimale logistiek en patienten voorkeuren in de acute zorgketen; de huisartsenpost en spoedeisende hulp in een geintegreerde spoedpost (2013)[Book/Report › Report]. ZONMW. Bruens, M. A., Doggen, C. J. M., Drost, A., Hans, E. W., Mes, M. R. K., Snel, J. E., van Til, J. A., Verheij, H. J. W. & Vliegen, I. H. M.The effects of integrating an emergency department and general practioner cooperative into one emergency post (2013)[Contribution to conference › Abstract] 7th Mediterranean Emergency Medicine Congress, MEMC 2013. Vliegen, I., Bruens, M., Mes, M., Hans, E. & Doggen, C.
2012
A generalized simulation model of an integrated emergency post (2012)In Proceedings of the 2012 Winter Simulation Conference (WSC) (pp. 1-11). IEEE. Mes, M. R. K. & Bruens, M. A.https://doi.org/10.1109/WSC.2012.6464987Barge Terminal Multi-Agent Network. (2012)[Contribution to conference › Paper] INFORMS Annual Meeting 2012. Mes, M. R. K.A Simulation Study of an Integrated Emergency Post (2012)[Contribution to conference › Paper] ORAHS 2012. Mes, M. R. K.Organisatie van de acute zorgketen: de effecten en optimalisatie van een geïntegreerde spoedpost (2012)[Contribution to conference › Poster] Symposium Trends Acute Zorg 2012. van der Linde, G. R., Borgman, N. J., Mes, M. R. K., Vliegen, I. M. H., Bruens, M. A., Doggen, C. J. M., Hans, E. W., Snel, J. E. & Drost, A.Strategies for dynamic appointment making by container terminals (2012)[Book/Report › Report]. University of Twente, Research School for Operations Management and Logistics (BETA). Douma, A. M. & Mes, M. R. K.Using simulation to assess the opportunities of dynamic waste collection (2012)In Use cases of discrete event simulation (pp. 277-307). Springer. Mes, M. R. K.https://doi.org/10.1007/978-3-642-28777-0_13Using Simulation to Assess the Opportunities of Dynamic Waste Collection (2012)[Book/Report › Report]. BETA Research School for Operations Management and Logistics. Mes, M. R. K.http://beta.ieis.tue.nl/node/1987
2011
Inventory Routing for Dynamic Waste Collection from Underground Containers. (2011)[Contribution to conference › Paper] INFORMS Annual Meeting 2011. Mes, M. R. K.Hierarchical Knowledge Gradient for Sequential Sampling (2011)Journal of machine learning research, 12(10), 2931-2974. Mes, M. R. K., Powell, W. B. & Frazier, P. I.http://jmlr.csail.mit.edu/papers/v12/mes11a.htmlDynamic collection policies for emptying underground waste containers. (2011)[Contribution to conference › Poster] NWO Workshop Application of Operations Research in Urban Transport.. Mes, M. R. K.
2010
Learning in Approximate Dynamic Programming for Managing a Multi-Attribute Driver. (2010)[Contribution to conference › Paper] INFORMS Annual Meeting 2010. Mes, M. R. K.Interaction between intelligent agent strategies for real-time transportation planning (2010)[Working paper › Working paper]. University of Twente, Research School for Operations Management and Logistics (BETA). Mes, M. R. K., van der Heijden, M. C. & Schuur, P.Look-ahead strategies for dynamic pickup and delivery problems (2010)OR Spectrum = OR Spektrum, 32(2), 395-421. Mes, M., van der Heijden, M. & Schuur, P.https://doi.org/10.1007/s00291-008-0146-3
2009
Dynamic threshold policy for delaying and breaking commitments in transportation auctions (2009)Transportation research. Part C: Emerging technologies, 17(2), 208-223. Mes, M. R. K., van der Heijden, M. C. & Schuur, P.https://doi.org/10.1016/j.trc.2008.03.001Hierarchical Knowledge-Gradient for Sequential Sampling (2009)[Book/Report › Report]. University of Twente, Research School for Operations Management and Logistics (BETA). Mes, M. R. K., Powel, W. B. & Frazier, P. I.
2008
Sequential auctions for full truckload allocation (2008)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Mes, M. R. K.https://doi.org/10.3990/1.9789036526296Design choices for agent-based control of AGVs in the dough making process (2008)Decision support systems, 44(4), 983-999. Mes, M. R. K., van der Heijden, M. C. & van Hillegersberg, J.https://doi.org/10.1016/j.dss.2007.11.005
2007
Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems (2007)European journal of operational research, 181(1), 59-75. Mes, M., van der Heijden, M. & van Harten, A.https://doi.org/10.1016/j.ejor.2006.02.051Design choices for agent-based control of AGVs in the dough making process (2007)[Working paper › Working paper]. University of Twente, Research School for Operations Management and Logistics (BETA). Mes, M. R. K., van der Heijden, M. C. & Schuur, P.Dynamic threshold policy for delaying and breaking commitments in transportation auctions (2007)[Working paper › Working paper]. University of Twente, Research School for Operations Management and Logistics (BETA). Mes, M. R. K., van der Heijden, M. C. & Schuur, P.
2006
Opportunity costs calculation in agent-based vehicle routing and scheduling (2006)[Working paper › Working paper]. University of Twente, Research School for Operations Management and Logistics (BETA). Mes, M., van der Heijden, M. & Schuur, P.
2005
Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems (2005)[Working paper › Working paper]. University of Twente, Research School for Operations Management and Logistics (BETA). Mes, M., van der Heijden, M. & van Harten, A.
2004
Agent-based transportation planning compared with scheduling heuristics (2004)[Working paper › Working paper]. University of Twente, Research School for Operations Management and Logistics (BETA). Mes, M. R. K., van der Heijden, M. C. & van Harten, A.
1993
Sputtered Magnetic Multilayers (1993)[Contribution to conference › Poster] MESA Dag 1993. de Haan, P., van Drent, W. P., Meng, Q., Mes, M. R. K. & Lodder, J. C.
1992
CoxNi(1-x)/Pt multilayers for magneto-optical recording (1992)[Contribution to conference › Poster] 2nd Magneto-Optical Recording International Symposium, MORIS 1992. Mes, M., Lodder, C., Takahata, T., Moritani, I. & Imamura, N.