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Decision Support System (DSS) for Hierarchical Allocation of Resources and Tasks for Disaster Management

Author

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  • Shuvrangshu Jana

    (Indian Institute of Science)

  • Rudrashis Majumder

    (Indian Institute of Science)

  • Prathyush P. Menon

    (University of Exeter)

  • Debasish Ghose

    (Indian Institute of Science)

Abstract

After the occurrence of a natural disaster, it is of paramount importance to take efficient measures to reduce the casualties and damage to infrastructure. Resource allocation is a generic problem of assigning available resources to the affected areas to cope with the devastation caused by the disaster. To mitigate the deadly effect of a natural disaster, different resources are essential at the emergency sites. Disaster response activities also need the assignment of various critical tasks to be carried out by different emergency workers at the local level. The individual emergency locations convey their demands for resources and required services to the higher-level authorities. Depending on availability, the higher-level authority allocates resources through successive lower levels to the emergency sites. This paper proposes a model for the hierarchical flow of different resources during disaster management in the Indian context, from the top-level authority to the lower levels. This hierarchical architecture also incorporates the allocation of different essential tasks at the ground level to reduce the effect of a natural disaster locally.

Suggested Citation

  • Shuvrangshu Jana & Rudrashis Majumder & Prathyush P. Menon & Debasish Ghose, 2022. "Decision Support System (DSS) for Hierarchical Allocation of Resources and Tasks for Disaster Management," SN Operations Research Forum, Springer, vol. 3(3), pages 1-30, September.
    • Handle: RePEc:spr:snopef:v:3:y:2022:i:3:d:10.1007_s43069-022-00148-6
    DOI: 10.1007/s43069-022-00148-6
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    1. Md. Shahinoor Rahman & Liping Di, 2017. "The state of the art of spaceborne remote sensing in flood management," 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. 85(2), pages 1223-1248, January.
    2. Manuela Nappi & João Souza, 2015. "Disaster management: hierarchical structuring criteria for selection and location of temporary shelters," 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. 75(3), pages 2421-2436, February.
    3. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    4. Elifcan Yaşa & Dilek Tüzün Aksu & Linet Özdamar, 2022. "Metaheuristics for the stochastic post-disaster debris clearance problem," IISE Transactions, Taylor & Francis Journals, vol. 54(10), pages 1004-1017, July.
    5. Colin J. Worby & Hsiao-Han Chang, 2020. "Face mask use in the general population and optimal resource allocation during the COVID-19 pandemic," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    6. Widener, Michael J. & Horner, Mark W., 2011. "A hierarchical approach to modeling hurricane disaster relief goods distribution," Journal of Transport Geography, Elsevier, vol. 19(4), pages 821-828.
    7. Nagurney, Anna & Flores, Emilio Alvarez & Soylu, Ceren, 2016. "A Generalized Nash Equilibrium network model for post-disaster humanitarian relief," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 1-18.
    8. Özdamar, Linet & Demir, Onur, 2012. "A hierarchical clustering and routing procedure for large scale disaster relief logistics planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 591-602.
    9. Yutaka Matsuno & Futaba Fukanuma & Shigenobu Tsuruoka, 2021. "Development of Flood Disaster Prevention Simulation Smartphone Application Using Gamification," Springer Optimization and Its Applications, in: Ilias S. Kotsireas & Anna Nagurney & Panos M. Pardalos & Arsenios Tsokas (ed.), Dynamics of Disasters, pages 147-159, Springer.
    10. 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.
    11. ZhenFang Liu & GuoHe Huang, 2009. "Dual-Interval Two-Stage Optimization for Flood Management and Risk Analyses," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(11), pages 2141-2162, September.
    12. Omvir Singh & Manish Kumar, 2013. "Flood events, fatalities and damages in India from 1978 to 2006," 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. 69(3), pages 1815-1834, December.
    13. Marin, Giovanni & Modica, Marco & Paleari, Susanna & Zoboli, Roberto, 2021. "Assessing disaster risk by integrating natural and socio-economic dimensions: A decision-support tool," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    14. Yanyan Wang & Vicki M. Bier & Baiqing Sun, 2019. "Measuring and Achieving Equity in Multiperiod Emergency Material Allocation," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2408-2426, November.
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