Mathematical Approaches to Strategic Resource Allocation in Crisis Management
Robert Akpalu
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Robert Akpalu: School of Education, Valley View University, Ghana
International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 1, 5071-5081
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.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:9:y:2025:i:1:p:5071-5081
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