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Optimized maritime emergency resource allocation under dynamic demand.

Wenfen Zhang1,2, Xinping Yan1,2, Jiaqi Yang3

  • 1Intelligent Transportation System Research Center (ITSC), Wuhan University of Technology, Wuhan, China.

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Summary
This summary is machine-generated.

This study addresses dynamic demand for emergency resources in maritime accidents. A new model optimizes resource allocation, improving disaster response and management.

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Area of Science:

  • Maritime safety
  • Operations research
  • Disaster management

Background:

  • Effective emergency resource allocation is crucial for maritime accident response.
  • Uncertainty and dynamic demand in maritime accidents pose significant challenges to resource scheduling.
  • Optimizing emergency resource stock levels is key to enhancing relief efforts.

Purpose of the Study:

  • To develop a maritime emergency resource allocation model that accounts for dynamic and uncertain demand.
  • To present a robust approach for scheduling emergency resources to ensure effective performance under varying conditions.
  • To provide a feasible methodology for flexible emergency resource scheduling in maritime contexts.

Main Methods:

  • Defining dynamic demand as a set.
  • Developing a maritime emergency resource allocation model incorporating uncertain data.
  • Implementing a robust approach to ensure schedule performance with dynamic demand.

Main Results:

  • The proposed methodology demonstrates feasibility in maritime emergency resource allocation.
  • The model effectively handles dynamic demand scenarios.
  • The robust approach ensures reliable resource allocation performance.

Conclusions:

  • The developed methodology offers a flexible framework for emergency managers to schedule resource allocation.
  • Optimized resource stock levels can significantly improve relief efforts during maritime accidents.
  • This research contributes to more resilient and responsive maritime emergency management systems.