RETRACTED ARTICLE: Multi-objective location-scale optimization model and solution methods for large-scale emergency...

Area of Science:

• Operations Research
• Disaster Management
• Logistics

Background:

• Effective emergency rescue relies on strategic resource location.
• Optimizing emergency supply chains enhances response efficiency and material delivery.
• Existing research lacks comprehensive models addressing dynamic demand and multi-objective optimization.

Purpose of the Study:

• To develop efficient and feasible models for emergency rescue resource location and layout.
• To construct an optimization model incorporating dynamic demand, efficiency, cost, and fairness.
• To propose novel solution methods for multi-objective optimization problems in disaster scenarios.

Main Methods:

• Literature review and analysis of existing emergency resource location research.
• Development of a multi-objective optimization model for resource location and construction scale.
• Proposal of two power function-based methods (basic efficacy coefficient and unit cost utility) for efficient problem-solving.
• Simulation example design to validate model and solution effectiveness.

Main Results:

• The proposed model maximizes the effectiveness of priority emergency rescue resources.
• Significant reduction in emergency response costs achieved.
• Enhanced fairness in emergency rescue distribution demonstrated.
• Simultaneous optimization of resource location and scale confirmed.

Conclusions:

• The developed model and methods provide a practical framework for emergency resource configuration.
• The approach effectively balances resource effectiveness, cost reduction, and equitable distribution.
• This research offers valuable insights for improving disaster preparedness and response strategies.