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Emergency material allocation with time-varying supply-demand based on dynamic optimization method for river chemical
Jie Liu1, Liang Guo1, Jiping Jiang2
1School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
Environmental Science and Pollution Research International
|April 15, 2018
Summary
This study introduces a framework for efficient emergency material allocation during river chemical spills. It optimizes response times and meets dynamic demands, balancing cost and time for effective decision-making.
Area of Science:
- Environmental Science
- Operations Research
- Disaster Management
Background:
- River chemical spills pose significant environmental and safety risks.
- Rapid and efficient emergency response is crucial to minimize damage.
- Existing allocation strategies may not adequately address time-varying demands.
Purpose of the Study:
- To develop an emergency material allocation framework for river chemical spills.
- To minimize emergency response time and satisfy dynamic material requirements.
- To balance time-effective and cost-effective objectives in decision-making.
Main Methods:
- Developed a framework based on time-varying supply-demand constraints.
- Determined theoretically critical emergency response time to select warehouses.
- Applied an enumeration method to identify practically critical response time and optimal allocation.
Main Results:
- The framework effectively allocates emergency materials to meet time-dynamic demands.
- Identified optimal allocation and replenishment schemes.
- Demonstrated applicability through a computational experiment on a major water transfer project.
Conclusions:
- The proposed methodology offers a simple and flexible tool for emergency material allocation.
- Enables decision-makers to balance time and cost objectives under various pollution conditions.
- Contributes to improved emergency rescue decision-making for river chemical spills.
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