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Two-stage stochastic formulation for relief operations with multiple agencies in simultaneous disasters

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  • Oscar Rodríguez-Espíndola

    (Aston University)

Abstract

The increasing damage caused by disasters is a major challenge for disaster management authorities, especially in instances where simultaneous disasters affect different geographical areas. The uncertainty and chaotic conditions caused by these situations combined with the inherent complexity of collaboration between multiple stakeholders complicates delivering support for disaster victims. Decisions related to facility location, procurement, stock prepositioning and relief distribution are essential to ensure the provision of relief for these victims. There is a need to provide analytical models that can support integrated decision-making in settings with uncertainty caused by simultaneous disasters. However, there are no formulations tackling these decisions combining multiple suppliers, multiple agencies, and simultaneous disasters. This article introduces a novel bi-objective two-stage stochastic formulation for disaster preparedness and immediate response considering the interaction of multiple stakeholders in uncertain environments caused by the occurrence of simultaneous disasters. At the first stage, decisions related to the selection of suppliers, critical facilities, agencies involved, and pre-disaster procurement are defined. Resource allocation, relief distribution and procurement of extra resources after the events are decided at the second stage. The model was tested on data from the situation caused by simultaneous hurricanes and storms in Mexico during September of 2013. The case is contrasted with instances planning for disasters independently. The results show how planning for multiple disasters can help understand the real boundaries of the disaster response system, the benefits of integrated decision-making, the impact of deploying only the agencies required, and the criticality of considering human resources in disaster planning.

Suggested Citation

  • Oscar Rodríguez-Espíndola, 2023. "Two-stage stochastic formulation for relief operations with multiple agencies in simultaneous disasters," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 477-523, June.
  • Handle: RePEc:spr:orspec:v:45:y:2023:i:2:d:10.1007_s00291-023-00705-3
    DOI: 10.1007/s00291-023-00705-3
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    1. Xiaojun Shan & Jun Zhuang, 2013. "Cost of Equity in Homeland Security Resource Allocation in the Face of a Strategic Attacker," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1083-1099, June.
    2. Linet Özdamar & Ediz Ekinci & Beste Küçükyazici, 2004. "Emergency Logistics Planning in Natural Disasters," Annals of Operations Research, Springer, vol. 129(1), pages 217-245, July.
    3. Shamsi G., N. & Ali Torabi, S. & Shakouri G., H., 2018. "An option contract for vaccine procurement using the SIR epidemic model," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1122-1140.
    4. Alex Julca, 2012. "Natural Disasters with Un-Natural Effects: Why?," Journal of Economic Issues, Taylor & Francis Journals, vol. 46(2), pages 499-510.
    5. Mehdi Sharifyazdi & Kaustubh Anil Navangul & Amir Gharehgozli & Marianne Jahre, 2018. "On- and offshore prepositioning and delivery mechanism for humanitarian relief operations," International Journal of Production Research, Taylor & Francis Journals, vol. 56(18), pages 6164-6182, September.
    6. Nilay Noyan & Gökçe Kahvecioğlu, 2018. "Stochastic last mile relief network design with resource reallocation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 187-231, January.
    7. Yacov Y Haimes, 2012. "Strategic Preparedness for Recovery from Catastrophic Risks to Communities and Infrastructure Systems of Systems," Risk Analysis, John Wiley & Sons, vol. 32(11), pages 1834-1845, November.
    8. Aghajani, Mojtaba & Torabi, S. Ali & Heydari, Jafar, 2020. "A novel option contract integrated with supplier selection and inventory prepositioning for humanitarian relief supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    9. Abualkhair, Hussain & Lodree, Emmett J. & Davis, Lauren B., 2020. "Managing volunteer convergence at disaster relief centers," International Journal of Production Economics, Elsevier, vol. 220(C).
    10. Najmesadat Nazemi & Sophie N. Parragh & Walter J. Gutjahr, 2022. "Bi-objective facility location under uncertainty with an application in last-mile disaster relief," Annals of Operations Research, Springer, vol. 319(2), pages 1689-1716, December.
    11. Hu, Shaolong & Dong, Zhijie Sasha, 2019. "Supplier selection and pre-positioning strategy in humanitarian relief," Omega, Elsevier, vol. 83(C), pages 287-298.
    12. Sheu, Jiuh-Biing, 2014. "Post-disaster relief–service centralized logistics distribution with survivor resilience maximization," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 288-314.
    13. German A. Velasquez & Maria E. Mayorga & Eduardo A. R. Cruz, 2019. "Prepositioning inventory for disasters: a robust and equitable model," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 757-785, September.
    14. Elçi, Özgün & Noyan, Nilay, 2018. "A chance-constrained two-stage stochastic programming model for humanitarian relief network design," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 55-83.
    15. Doan, Xuan Vinh & Shaw, Duncan, 2019. "Resource allocation when planning for simultaneous disasters," European Journal of Operational Research, Elsevier, vol. 274(2), pages 687-709.
    16. Xihui Wang & Yu Fan & Liang Liang & Harwin De Vries & Luk N. Van Wassenhove, 2019. "Augmenting Fixed Framework Agreements in Humanitarian Logistics with a Bonus Contract," Production and Operations Management, Production and Operations Management Society, vol. 28(8), pages 1921-1938, August.
    17. Balcik, Burcu & Beamon, Benita M. & Krejci, Caroline C. & Muramatsu, Kyle M. & Ramirez, Magaly, 2010. "Coordination in humanitarian relief chains: Practices, challenges and opportunities," International Journal of Production Economics, Elsevier, vol. 126(1), pages 22-34, July.
    18. Holguín-Veras, José & Jaller, Miguel & Wachtendorf, Tricia, 2012. "Comparative performance of alternative humanitarian logistic structures after the Port-au-Prince earthquake: ACEs, PIEs, and CANs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1623-1640.
    19. Burcu Balcik & Deniz Ak, 2014. "Supplier Selection for Framework Agreements in Humanitarian Relief," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1028-1041, June.
    20. Aurelie Charles & Matthieu Lauras, 2011. "An enterprise modelling approach for better optimisation modelling: application to the humanitarian relief chain coordination problem," Post-Print hal-01685415, HAL.
    21. Chang, Mei-Shiang & Tseng, Ya-Ling & Chen, Jing-Wen, 2007. "A scenario planning approach for the flood emergency logistics preparation problem under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 737-754, November.
    22. N. T. T. Huong & N. D. Yen, 2014. "The Pascoletti–Serafini Scalarization Scheme and Linear Vector Optimization," Journal of Optimization Theory and Applications, Springer, vol. 162(2), pages 559-576, August.
    23. Burcu Balcik & Selene Silvestri & Marie‐Ève Rancourt & Gilbert Laporte, 2019. "Collaborative Prepositioning Network Design for Regional Disaster Response," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2431-2455, October.
    24. Daniel Seaberg & Laura Devine & Jun Zhuang, 2017. "A review of game theory applications in natural disaster management research," 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. 89(3), pages 1461-1483, December.
    25. Lei Lei & Michael Pinedo & Lian Qi & Shengbin Wang & Jian Yang, 2015. "Personnel scheduling and supplies provisioning in emergency relief operations," Annals of Operations Research, Springer, vol. 235(1), pages 487-515, December.
    26. Alessandra Cozzolino, 2012. "Humanitarian Logistics and Supply Chain Management," SpringerBriefs in Business, in: Humanitarian Logistics, edition 127, chapter 0, pages 5-16, Springer.
    27. Dirk Briskorn & Alf Kimms & Denis Olschok, 2020. "Simultaneous planning for disaster road clearance and distribution of relief goods: a basic model and an exact solution method," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 591-619, September.
    28. Ali Torabi, S. & Shokr, Iman & Tofighi, Saeideh & Heydari, Jafar, 2018. "Integrated relief pre-positioning and procurement planning in humanitarian supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 123-146.
    29. Nagurney, Anna & Salarpour, Mojtaba & Daniele, Patrizia, 2019. "An integrated financial and logistical game theory model for humanitarian organizations with purchasing costs, multiple freight service providers, and budget, capacity, and demand constraints," International Journal of Production Economics, Elsevier, vol. 212(C), pages 212-226.
    30. Joost R. Santos & Lucia Castro Herrera & Krista Danielle S. Yu & Sheree Ann T. Pagsuyoin & Raymond R. Tan, 2014. "State of the Art in Risk Analysis of Workforce Criticality Influencing Disaster Preparedness for Interdependent Systems," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1056-1068, June.
    31. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    32. Alem, Douglas & Clark, Alistair & Moreno, Alfredo, 2016. "Stochastic network models for logistics planning in disaster relief," European Journal of Operational Research, Elsevier, vol. 255(1), pages 187-206.
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