Time-Phased Relief Supply Network Planning for Foreseen Disasters

References

• Beheshtinia MA, Jozi A, Fathi M (2023) Optimizing disaster relief goods distribution and transportation: A mathematical model and metaheuristic algorithms. Appl. Math. Sci. Engrg. 31(1):2252980.Crossref, Google Scholar
• Benders JF (1962) Partitioning procedures for solving mixed-variables programming problems. Numerische Mathematik 4(1):238–252.Crossref, Google Scholar
• Bonami P, Salvagnin D, Tramontani A (2020) Implementing automatic Benders decomposition in a modern MIP solver. Chakrabarty D, Swamy C, eds. Integer Programming Combin. Optim. 21st Internat. Conf. IPCO 2020, Proceedings Springer Nature (Springer, Berlin), 78–90.Google Scholar
• CBS News (2024) Here are the 15 most destructive hurricanes in U.S. history. Accessed May 13, 2024, https://www.cbsnews.com/news/most-desctructive-hurricanes-us-history-pictures-devastation/?utm_source=chatgpt.com.Google Scholar
• Climate Central (2025) Hurricane intensity and impacts. Accessed April 9, 2025, https://www.climatecentral.org/climate-matters/hurricane-intensity-and-impacts?utm_source=chatgpt.com.Google Scholar
• Dalal J, Üster H (2018) Combining worst case and average case considerations in an integrated emergency response network design problem. Transportation Sci. 52(1):171–188.Link, Google Scholar
• Dalal J, Üster H (2021) Robust emergency relief supply planning for foreseen disasters under evacuation-side uncertainty. Transportation Sci. 55(3):791–813.Link, Google Scholar
• Duran S, Gutierrez M, Keskinocak P (2011) Pre-positioning of emergency items for care international. Interfaces 41(3):223–237.Link, Google Scholar
• Eisenhandler O, Tzur M (2019a) The humanitarian pickup and distribution problem. Oper. Res. 67(1):10–32.Link, Google Scholar
• Eisenhandler O, Tzur M (2019b) A segment-based formulation and a matheuristic for the humanitarian pickup and distribution problem. Transportation Sci. 53(5):1389–1408.Link, Google Scholar
• Elhedhli S, Hu FX (2005) Hub-and-spoke network design with congestion. Comput. Oper. Res. 32(6):1615–1632.Crossref, Google Scholar
• Erbeyoğlu G, Bilge Ü (2020) A robust disaster preparedness model for effective and fair disaster response. Eur. J. Oper. Res. 280(2):479–494.Crossref, Google Scholar
• Federal Emergency Management Agency (2018) Disaster recovery reform act of 2018 by FEMA. Accessed February 14, 2026, https://www.fema.gov/disaster/disaster-recovery-reform-act-2018.Google Scholar
• Galindo G, Batta R (2013) Review of recent developments in OR/MS research in disaster operations management. Eur. J. Oper. Res. 230(2):201–211.Crossref, Google Scholar
• Geoffrion AM, Graves GW (1974) Multicommodity distribution system design by Benders decomposition. Management Sci. 20(5):822–844.Link, Google Scholar
• Gong Y, Wang W, Zhou Y, Cheng J (2025) Optimization of emergency material distribution routes in flood disaster with truck-speedboat-drone coordination. J. Flood Risk Management 18(1):e13045.Crossref, Google Scholar
• Guo P, Dong ZS, Zhu J (2025) Nested logic-based Benders decomposition for disaster preparedness planning with horizontal coordination. IISE Trans. 54(4):443–475.Crossref, Google Scholar
• Haghani A, Oh SC (1996) Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transportation Res. Part A Policy Practice 30(3):231–250.Crossref, Google Scholar
• Hasani A, Sheikh R (2023) Robust goal programming approach for healthcare network management for perishable products under disruption. Appl. Math. Model. 117:399–416.Crossref, Google Scholar
• Horner MW, Downs JA (2010) Optimizing hurricane disaster relief goods distribution: Model development and application with respect to planning strategies. Disasters 34(3):821–844.Crossref, Google Scholar
• Iloglu S, Albert LA (2018) An integrated network design and scheduling problem for network recovery and emergency response. Oper. Res. Perspect. 5:218–231.Crossref, Google Scholar
• Kundu T, Sheu JB, Kuo HT (2022) Emergency logistics management—Review and propositions for future research. Transportation Res. Part E Logist. Transportation Rev. 164:102789.Crossref, Google Scholar
• Lin H, Üster H (2014) A parallel algorithm with enhancements via partial objective value cuts for cluster-based wireless sensor network design. J. Parallel Distributed Comput. 74(7):2615–2625.Crossref, Google Scholar
• Magnanti TL, Wong RT (1981) Accelerating Benders decomposition: Algorithmic enhancement and model selection criteria. Oper. Res. 29(3):464–484.Link, Google Scholar
• Mostajabdaveh M, Salman FS, Gutjahr WJ (2025) A branch-and-price algorithm for fast and equitable last-mile relief aid distribution. Eur. J. Oper. Res. 324(2):522–537.Crossref, Google Scholar
• National Center for Education Statistics (2024) Texas public schools by NCES. Accessed May 13, 2024, https://nces.ed.gov/.Google Scholar
• Ni W, Shu J, Song M (2018) Location and emergency inventory pre-positioning for disaster response operations: Min-max robust model and a case study of Yushu earthquake. Production Oper. Management 27(1):160–183.Crossref, Google Scholar
• Noyan N, Balcik B, Atakan S (2016) A stochastic optimization model for designing last mile relief networks. Transportation Sci. 50(3):1092–1113.Link, Google Scholar
• Özdamar L, Ekinci E, Küçükyazici B (2004) Emergency logistics planning in natural disasters. Ann. Oper. Res. 129(1):217–245.Crossref, Google Scholar
• Protogyrou D, Hajibabai L (2024) A Lagrangian relaxation approach for resource allocation problem with capacity constraints. Comput. Aided Civil Infrastructure Engrg. 39(18):2760–2773.Crossref, Google Scholar
• Rivera-Royero D, Galindo G, Yie-Pinedo R (2020) Planning the delivery of relief supplies upon the occurrence of a natural disaster while considering the assembly process of the relief kits. Socio-Econom. Planning Sci. 69:100682,Crossref, Google Scholar
• Rodríguez-Espíndola O, Albores P, Brewster C (2018) Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods. Eur. J. Oper. Res. 264(3):978–993.Crossref, Google Scholar
• Schumacher I, Strobl E (2011) Economic development and losses due to natural disasters: The role of hazard exposure. Ecological Econom. 72:97–105.Crossref, Google Scholar
• Sheu JB, Pan C (2014) A method for designing centralized emergency supply network to respond to large-scale natural disasters. Transportation Res. Part B Methodological 67:284–305.Crossref, Google Scholar
• Shu J, Song M, Wang B, Yang J, Zhu S (2023) Humanitarian relief network design: Responsiveness maximization and a case study of typhoon Rammasun. IISE Trans. 55(3):301–313.Crossref, Google Scholar
• Song JM, Chen W, Lei L (2018) Supply chain flexibility and operations optimisation under demand uncertainty: A case in disaster relief. Internat. J. Production Res. 56(10):3699–3713.Crossref, Google Scholar
• Texas Demographics Center (2024) Population of Texas counties. Accessed May 13, 2024, https://demographics.texas.gov/?utm_source=chatgpt.com.Google Scholar
• Texas Department of Transportation (2024) Open GIS data portal provided by TxDOT. Accessed May 13, 2024, https://gis-txdot.opendata.arcgis.com/.Google Scholar
• Ukkusuri SV, Yushimito WF (2008) Location routing approach for the humanitarian prepositioning problem. Transportation Res. Record 2089(1):18–25.Crossref, Google Scholar
• Üster H, Agrahari H (2011) A Benders decomposition approach for a distribution network design problem with consolidation and capacity considerations. Oper. Res. Lett. 39(2):138–143.Crossref, Google Scholar
• Üster H, Dalal J (2017) Strategic emergency preparedness network design integrating supply and demand sides in a multi-objective approach. IISE Trans. 49(4):395–413.Crossref, Google Scholar
• Van Roy TJ (1986) A cross decomposition algorithm for capacitated facility location. Oper. Res. 34(1):145–163.Link, Google Scholar
• Vanajakumari M, Kumar S, Gupta S (2016) An integrated logistic model for predictable disasters. Production Oper. Management 25(5):791–811.Crossref, Google Scholar
• Wang Q, Nie X (2023) A location-inventory-routing model for distributing emergency supplies. Transportation Res. Part E Logist. Transportation Rev. 175:103156.Crossref, Google Scholar
• Widener MJ, Horner MW (2011) A hierarchical approach to modeling hurricane disaster relief goods distribution. J. Transport Geography 19(4):821–828.Crossref, Google Scholar
• Zargary S, Samouei P (2022) Production-routing-inventory in post-disaster conditions: A multi-objective mathematical model and two algorithms. Process Integration Optim. Sustainability 6(4):1163–1183.Crossref, Google Scholar