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Optimization of Multi-Objective Mobile Emergency Material Allocation for Sudden Disasters
Jianxun Li1, Haoxin Fu1, Kin Keung Lai2
1School of Economics and Management, Xi'an University of Technology, Xi'an, China.
Frontiers in Public Health
|August 1, 2022
Summary
This study introduces a mobile emergency system for disaster management, optimizing facility and material allocation. The developed model effectively balances emergency costs and time, validated by a real-world flood scenario.
Area of Science:
- Disaster Management
- Operations Research
- Emergency Logistics
Background:
- Increasing frequency of sudden disasters necessitates improved emergency response systems.
- Current emergency allocation strategies may not adequately address dynamic resource needs.
- Optimizing mobile emergency facilities and material distribution is crucial for effective disaster relief.
Purpose of the Study:
- To develop a multi-objective model for mobile emergency material allocation.
- To minimize both emergency costs and response time in disaster scenarios.
- To provide a framework for optimizing the deployment of mobile emergency resources.
Main Methods:
- Formulation of a multi-objective mobile emergency material allocation model.
- Transformation of the multi-objective problem for optimization.
- Application of a hybrid leapfrog algorithm for material allocation.
- Coding of emergency material transportation paths.
Main Results:
- The model successfully optimizes mobile emergency material allocation based on cost-time trade-offs.
- Validation using the "21.7" Henan Province flood disaster demonstrates model feasibility.
- Analysis shows allocation can adapt to different stages of emergency response.
Conclusions:
- The proposed mobile emergency system offers an effective solution for disaster management.
- The model provides actionable insights for locating mobile emergency facilities and determining material quantities.
- This approach enhances the efficiency and responsiveness of emergency logistics.
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