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Optimizing oil spill emergency logistics: a time-varying multi-resource collaborative scheduling model.

Lingye Zhang1,2, Jing Lu3

  • 1College of Transportation Engineering, Dalian Maritime University, Dalian, 116026, China.

Environmental Science and Pollution Research International
|December 8, 2023
PubMed
Summary

This study introduces a new model for oil spill emergency resource scheduling using real-time data. It improves response efficiency and cost-effectiveness by considering dynamic conditions and operational factors.

Keywords:
Emergency logisticsLocation-routing problemMulti-resource schedulingOil spills

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Area of Science:

  • Environmental Science
  • Operations Research
  • Logistics Management

Background:

  • Emergency resource scheduling is critical for oil spill response.
  • Existing models use static data, failing to capture dynamic changes from oil movement.
  • There's a need for responsive and cost-efficient scheduling methods.

Purpose of the Study:

  • To develop a novel multi-objective location-routing model for multi-resource collaborative scheduling in oil spill response.
  • To incorporate time-varying parameters for real-time demand and transportation network changes.
  • To enhance the responsiveness and cost-efficiency of emergency operations.

Main Methods:

  • Formulated a multi-objective location-routing model for collaborative scheduling.
  • Utilized time-varying parameters to reflect real-time operational conditions.
  • Developed a hybrid Particle Swarm Optimization-Plant Growth Simulation Algorithm (PSO-PGSA) heuristic algorithm.
  • Considered operational factors like multi-resource transport order, split delivery, and vehicle matching.

Main Results:

  • The proposed model effectively handles dynamic changes in oil spill scenarios.
  • The PSO-PGSA algorithm efficiently identifies optimal solutions and vehicle routes.
  • Numerical analysis demonstrated the practical applicability of the model and solution strategies.

Conclusions:

  • The developed model enhances oil spill emergency logistics by incorporating real-time features.
  • This approach is crucial for improving the overall effectiveness of emergency response operations.
  • Validates the methodology for dynamic emergency logistics and resource scheduling.