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Mathematical Approaches to Strategic Resource Allocation in Crisis Management

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  • Robert Akpalu

    (School of Education, Valley View University, Ghana)

Abstract

Crises, such as pandemics and natural disasters, demand efficient resource allocation, yet traditional methods often result in inefficiencies, delays, and inequities. This study explores mathematical approaches, including optimization models and scenario planning, to address these challenges in crisis management. Through a systematic review of recent peer-reviewed literature, key findings reveal the ability of linear programming, game theory, and scenario-based models to enhance efficiency, equity, and scalability. Integration with digital tools, such as IoT and real-time analytics, further strengthens decision-making. However, challenges like computational complexity and organizational inertia limit widespread adoption. This study contributes theoretical insights, policy recommendations, and actionable strategies, while outlining future research needs in hybrid modeling and socio-political analysis.

Suggested Citation

  • Robert Akpalu, 2025. "Mathematical Approaches to Strategic Resource Allocation in Crisis Management," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 5071-5081, January.
    • Handle: RePEc:bcp:journl:v:9:y:2025:i:1:p:5071-5081
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    References listed on IDEAS

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    1. Abdul Sattar Safaei & Saba Farsad & Mohammad Mahdi Paydar, 2020. "Emergency logistics planning under supply risk and demand uncertainty," Operational Research, Springer, vol. 20(3), pages 1437-1460, September.
    2. Milad Zamanifar & Timo Hartmann, 2020. "Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks," 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. 104(1), pages 1-25, October.
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