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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
PubMed
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.

Keywords:
Emergency material allocationEnvironmental emergency managementRiver chemical spillsTime-varying supply-demand

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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.