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A robust optimization approach for humanitarian needs assessment planning under travel time uncertainty

Citations

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Cited by:

  1. Pamukcu, Duygu & Çelik, Melih & Balçık, Burcu, 2025. "Integrating logistics planning and population sampling decisions for humanitarian needs assessment," Socio-Economic Planning Sciences, Elsevier, vol. 99(C).
  2. Yichen Lu & Chao Yang & Jun Yang, 2022. "A multi-objective humanitarian pickup and delivery vehicle routing problem with drones," Annals of Operations Research, Springer, vol. 319(1), pages 291-353, December.
  3. Shiri, Davood & Akbari, Vahid & Hassanzadeh, Ali, 2024. "The Capacitated Team Orienteering Problem: An online optimization framework with predictions of unknown accuracy," Transportation Research Part B: Methodological, Elsevier, vol. 185(C).
  4. Amirsahami, Amirali & Barzinpour, Farnaz & Pishvaee, Mir Saman, 2025. "A fuzzy programming model for decentralization and drone utilization in urban humanitarian relief chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
  5. Li, Yuchen & Zhang, Jianghua & Yu, Guodong, 2020. "A scenario-based hybrid robust and stochastic approach for joint planning of relief logistics and casualty distribution considering secondary disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
  6. Yang, Yongjian & Yin, Yunqiang & Wang, Dujuan & Ignatius, Joshua & Cheng, T.C.E. & Dhamotharan, Lalitha, 2023. "Distributionally robust multi-period location-allocation with multiple resources and capacity levels in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1042-1062.
  7. Diehlmann, Florian & Klein, Miriam & Wiens, Marcus & Lüttenberg, Markus & Schultmann, Frank, 2020. "On the value of accurate demand information in public-private emergency collaborations," Working Paper Series in Production and Energy 51, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
  8. Ju, Byung Jun & Chung, Byung Do, 2024. "Robust convoy movement problem under travel time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 190(C).
  9. Amin Amani, Mohammad & Asumadu Sarkodie, Samuel & Sheu, Jiuh-Biing & Mahdi Nasiri, Mohammad & Tavakkoli-Moghaddam, Reza, 2025. "A data-driven hybrid scenario-based robust optimization method for relief logistics network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
  10. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
  11. Xiaoxin Zhu & David Regan & Baiqing Sun, 2022. "Does exploring the characteristics of emergency supplies really matter for disaster response operations?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(1), pages 175-189, January.
  12. Fang Xu & Yifan Ma & Chang Liu & Ying Ji, 2024. "Emergency Logistics Facilities Location Dual-Objective Modeling in Uncertain Environments," Sustainability, MDPI, vol. 16(4), pages 1-34, February.
  13. Mohammadmehdi Hakimifar & Burcu Balcik & Christian Fikar & Vera Hemmelmayr & Tina Wakolbinger, 2022. "Evaluation of field visit planning heuristics during rapid needs assessment in an uncertain post-disaster environment," Annals of Operations Research, Springer, vol. 319(1), pages 517-558, December.
  14. Zhang, Guowei & Zhu, Ning & Ma, Shoufeng & Xia, Jun, 2021. "Humanitarian relief network assessment using collaborative truck-and-drone system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
  15. Tarhan, İstenç & Zografos, Konstantinos G. & Sutanto, Juliana & Kheiri, Ahmed, 2024. "A quadrant shrinking heuristic for solving the dynamic multi-objective disaster response personnel routing and scheduling problem," European Journal of Operational Research, Elsevier, vol. 314(2), pages 776-791.
  16. Hosseinifard, Zahra & Layaoen, Haerold Dean & Abareshi, Ahmad & Abbasi, Babak & Sheu, Jiuh-Biing, 2025. "A critical evaluation of non-profit organizations’ contributions to disaster management: Historical perspectives and future trends in operations management research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
  17. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.
  18. Xiaoxin Zhu & Yanyan Wang & David Regan & Baiqing Sun, 2020. "A Quantitative Study on Crucial Food Supplies after the 2011 Tohoku Earthquake Based on Time Series Analysis," IJERPH, MDPI, vol. 17(19), pages 1-13, September.
  19. Mohammadmehdi Hakimifar & Vera C. Hemmelmayr & Fabien Tricoire, 2022. "A Bi-Objective Field-Visit Planning Problem for Rapid Needs Assessment under Travel-Time Uncertainty," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
  20. Yin, Yunqiang & Yang, Yongjian & Yu, Yugang & Wang, Dujuan & Cheng, T.C.E., 2023. "Robust vehicle routing with drones under uncertain demands and truck travel times in humanitarian logistics," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
  21. Lu, Xiaohan & Cheng, Chun, 2021. "Locating facilities with resiliency to capacity failures and correlated demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
  22. de Moor, Danique & Wagenaar, Joris & Poos, Robert & den Hertog, Dick & Fleuren, Hein, 2024. "A robust approach to food aid supply chains," European Journal of Operational Research, Elsevier, vol. 318(1), pages 269-285.
  23. Han, Biao & Shang, Chao & Huang, Dexian, 2021. "Multiple kernel learning-aided robust optimization: Learning algorithm, computational tractability, and usage in multi-stage decision-making," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1004-1018.
  24. Zhang, Guowei & Jia, Ning & Zhu, Ning & Adulyasak, Yossiri & Ma, Shoufeng, 2023. "Robust drone selective routing in humanitarian transportation network assessment," European Journal of Operational Research, Elsevier, vol. 305(1), pages 400-428.
  25. Sun, Peng & Zhao, Dongpan & Chen, Qingxin & Yu, Xinyao & Zhu, Ning, 2025. "Distributionally robust optimization for pre-disaster facility location problem with 3D printing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
  26. Mohammadmehdi Hakimifar & Vera C. Hemmelmayr & Fabien Tricoire, 2023. "A lexicographic maximin approach to the selective assessment routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 205-249, March.
  27. Ozmemis, Cagri & Balcik, Burcu & Yanıkoğlu, İhsan & Akca, Berna, 2025. "Integrated treatment scheduling and logistics planning for a hemodialysis center after a disaster with robust travel times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 198(C).
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