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Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review

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  1. Bosse, Alexander & Ulmer, Marlin W. & Manni, Emanuele & Mattfeld, Dirk C., 2023. "Dynamic priority rules for combining on-demand passenger transportation and transportation of goods," European Journal of Operational Research, Elsevier, vol. 309(1), pages 399-408.
  2. Dennis Adelhütte & Kristin Braun & Frauke Liers & Sebastian Tschuppik, 2025. "Minimizing delays of patient transports with incomplete information: A modeling approach based on the vehicle routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(2), pages 565-604, June.
  3. Davood Shiri & Vahid Akbari & F. Sibel Salman, 2024. "Online algorithms for ambulance routing in disaster response with time-varying victim conditions," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(3), pages 785-819, September.
  4. Zehtabian, Shohre & Larsen, Christian & Wøhlk, Sanne, 2022. "Estimation of the arrival time of deliveries by occasional drivers in a crowd-shipping setting," European Journal of Operational Research, Elsevier, vol. 303(2), pages 616-632.
  5. Keskin, Merve & Branke, Juergen & Deineko, Vladimir & Strauss, Arne K., 2023. "Dynamic multi-period vehicle routing with touting," European Journal of Operational Research, Elsevier, vol. 310(1), pages 168-184.
  6. Cuellar-Usaquén, Daniel & Ulmer, Marlin W. & Gomez, Camilo & Álvarez-Martínez, David, 2024. "Adaptive stochastic lookahead policies for dynamic multi-period purchasing and inventory routing," European Journal of Operational Research, Elsevier, vol. 318(3), pages 1028-1041.
  7. Kirac, Emre & Milburn, Ashlea Bennett & Gedik, Ridvan, 2025. "The Dynamic Team Orienteering Problem," European Journal of Operational Research, Elsevier, vol. 324(1), pages 22-39.
  8. Stoia, Sara & Laganà, Demetrio & Ohlmann, Jeffrey W., 2025. "Dynamic pickup-and-delivery for collaborative platforms with time-dependent travel and crowdshipping," European Journal of Operational Research, Elsevier, vol. 322(1), pages 70-84.
  9. Wang, Hongfei & Guan, Hongzhi & Qin, Huanmei & Zhao, Pengfei, 2024. "Assessing the sustainability of time-dependent electric demand responsive transit service through deep reinforcement learning," Energy, Elsevier, vol. 296(C).
  10. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).
  11. Zhang, Jian & Luo, Kelin & Florio, Alexandre M. & Van Woensel, Tom, 2023. "Solving large-scale dynamic vehicle routing problems with stochastic requests," European Journal of Operational Research, Elsevier, vol. 306(2), pages 596-614.
  12. Mancini, Simona & Ulmer, Marlin W. & Gansterer, Margaretha, 2025. "Dynamic assignment of delivery order bundles to in-store customers," Omega, Elsevier, vol. 133(C).
  13. Chen, Xinwei & Wang, Tong & Thomas, Barrett W. & Ulmer, Marlin W., 2023. "Same-day delivery with fair customer service," European Journal of Operational Research, Elsevier, vol. 308(2), pages 738-751.
  14. Qiuping Ni & Yuanxiang Tang, 2023. "A Bibliometric Visualized Analysis and Classification of Vehicle Routing Problem Research," Sustainability, MDPI, vol. 15(9), pages 1-37, April.
  15. Florio, Alexandre M. & Gendreau, Michel & Hartl, Richard F. & Minner, Stefan & Vidal, Thibaut, 2023. "Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1081-1093.
  16. Chen, Xi & Li, Kaiwen & Lin, Sidian & Ding, Xiaosong, 2024. "Technician routing and scheduling with employees’ learning through implicit cross-training strategy," International Journal of Production Economics, Elsevier, vol. 271(C).
  17. Ninja Soeffker & Marlin W. Ulmer & Dirk C. Mattfeld, 2024. "Balancing resources for dynamic vehicle routing with stochastic customer requests," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(2), pages 331-373, June.
  18. Minghong Ma & Fei Yang, 2024. "Dynamic migratory beekeeping route recommendation based on spatio-temporal distribution of nectar sources," Annals of Operations Research, Springer, vol. 341(2), pages 1075-1105, October.
  19. Ausseil, Rosemonde & Ulmer, Marlin W. & Pazour, Jennifer A., 2024. "Online acceptance probability approximation in peer-to-peer transportation," Omega, Elsevier, vol. 123(C).
  20. Cosmi, Matteo & Oriolo, Gianpaolo & Piccialli, Veronica & Ventura, Paolo, 2025. "Courier assignment in meal delivery via integer programming: A case study in Rome," Omega, Elsevier, vol. 133(C).
  21. Voigt, Stefan & Frank, Markus & Kuhn, Heinrich, 2025. "Last mile delivery routing problem with some-day option," European Journal of Operational Research, Elsevier, vol. 324(2), pages 477-491.
  22. Boysen, Nils & Schwerdfeger, Stefan & W． Ulmer, Marlin, 2023. "Robotized sorting systems: Large-scale scheduling under real-time conditions with limited lookahead," European Journal of Operational Research, Elsevier, vol. 310(2), pages 582-596.
  23. Han, Shuihua & Chen, Linlin & Su, Zhaopei & Gupta, Shivam & Sivarajah, Uthayasankar, 2024. "Identifying a good business location using prescriptive analytics: Restaurant location recommendation based on spatial data mining," Journal of Business Research, Elsevier, vol. 179(C).
  24. Paradiso, Rosario & Roberti, Roberto & Ulmer, Marlin, 2025. "Lookahead scenario relaxation for dynamic time window assignment in service routing," Transportation Research Part B: Methodological, Elsevier, vol. 192(C).
  25. Nikola Mardešić & Tomislav Erdelić & Tonči Carić & Marko Đurasević, 2023. "Review of Stochastic Dynamic Vehicle Routing in the Evolving Urban Logistics Environment," Mathematics, MDPI, vol. 12(1), pages 1-44, December.
  26. Quy Ta-Dinh & Tu-San Pham & Minh Hoàng Hà & Louis-Martin Rousseau, 2024. "A reinforcement learning approach for the online dynamic home health care scheduling problem," Health Care Management Science, Springer, vol. 27(4), pages 650-664, December.
  27. Li, Meng & Cai, Kaiquan & Zhao, Peng, 2025. "Optimizing same-day delivery with vehicles and drones: A hierarchical deep reinforcement learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
  28. Wei, Xiaoyang & Jia, Shuai & Meng, Qiang & Koh, Jimmy, 2024. "Dynamic tugboat deployment and scheduling with stochastic and time-varying service demands," Transportation Research Part B: Methodological, Elsevier, vol. 188(C).
  29. Fleckenstein, David & Klein, Robert & Steinhardt, Claudius, 2023. "Recent advances in integrating demand management and vehicle routing: A methodological review," European Journal of Operational Research, Elsevier, vol. 306(2), pages 499-518.
  30. Abdollahi, Mohammad & Yang, Xinan & Nasri, Moncef Ilies & Fairbank, Michael, 2023. "Demand management in time-slotted last-mile delivery via dynamic routing with forecast orders," European Journal of Operational Research, Elsevier, vol. 309(2), pages 704-718.
  31. Scherr, Yannick Oskar & Gansterer, Margaretha & Hartl, Richard F., 2024. "Request acceptance with overbooking in dynamic and collaborative vehicle routing," European Journal of Operational Research, Elsevier, vol. 314(2), pages 612-629.
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