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Optimization-driven distribution of relief materials in emergency disasters
Yan Yan1, Xinyue Di1, Yuanyuan Zhang2
1Shenyang University of Technology, Shenyang, China.
Complex & Intelligent Systems
|November 15, 2021
Summary
This study introduces an optimized dispatch model for post-disaster relief material distribution using Internet of Things technology. The model minimizes response time and cost, improving disaster relief efficiency.
Area of Science:
- Operations Research
- Supply Chain Management
- Disaster Management
Background:
- Effective distribution of relief materials is critical for post-disaster emergency response.
- Sudden disasters create complex logistical challenges for meeting material needs.
Purpose of the Study:
- To establish an optimized dispatch model for multi-period, multi-modal relief material transportation.
- To minimize system response time and total cost in disaster-stricken areas.
Main Methods:
- Developed an optimized dispatch model incorporating Internet of Things (IoT) technology.
- Utilized urgent production, market procurement, and inventory collection strategies.
- Solved the model using CPLX software and conducted numerical simulations.
Main Results:
- The optimized scheduling method effectively meets material demands in disaster areas.
- Achieved shorter response times and lower overall costs compared to traditional methods.
- Demonstrated improved resilience against supply interruptions during post-disaster rescue operations.
Conclusions:
- The proposed model enhances the efficiency and cost-effectiveness of relief material distribution.
- The approach provides robust dispatching strategies for various disruption scenarios.
- IoT-enabled optimization is crucial for effective disaster emergency rescue.
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