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Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions
Ling Shen1, Fengming Tao2,3, Yuhe Shi4
1College of Mechanical Engineering, Chongqing University, Chongqing 400044, China.
Summary
This study introduces a fuzzy low-carbon open location-routing problem (FLCOLRP) model for optimizing emergency logistics, aiming to minimize delivery time, costs, and carbon emissions. A hybrid algorithm effectively solves this complex problem, offering insights for disaster management.
Area of Science:
- Operations Research
- Environmental Science
- Disaster Management
Background:
- Emergency logistics systems face optimization challenges, particularly concerning environmental impact.
- Balancing delivery efficiency, cost-effectiveness, and carbon footprint is crucial in disaster response.
Purpose of the Study:
- To develop a fuzzy low-carbon open location-routing problem (FLCOLRP) model for emergency logistics.
- To integrate environmental considerations (carbon emissions) into emergency logistics optimization.
- To address the uncertainty of disaster area needs using fuzzy logic.
Main Methods:
- Construction of a multi-objective FLCOLRP model minimizing delivery time, total costs, and carbon emissions.
- Utilization of a triangular fuzzy function to handle uncertain demand requirements.
- Application of a hybrid two-stage algorithm: Particle Swarm Optimization (PSO) for initial solutions and Tabu Search (TS) for global optimization.
Main Results:
- The proposed hybrid algorithm effectively solves the FLCOLRP model.
- Model validation using a classic Location-Routing Problem (LRP) database and a post-earthquake rescue scenario.
- Demonstrated ability to provide reliable conclusions through analysis of different target weight values.
Conclusions:
- The FLCOLRP model offers a robust framework for optimizing emergency logistics with environmental considerations.
- The hybrid PSO-TS algorithm is effective in finding optimal solutions for complex emergency logistics problems.
- Findings provide actionable recommendations for government emergency logistics management and public environmental awareness post-disaster.
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