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Related Experiment Video

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A novel optimization method for hazardous materials vehicle routing with temperature-based time windows.

Lu Ding1, Fangwei Zhang2, Jun Ye3

  • 1School of Navigation and Shipping, Shandong Jiaotong University, Weihai, Shandong, China.

Peerj. Computer Science
|February 3, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new model for the hazardous material (hazmat) vehicle routing problem, incorporating temperature-based time windows for shared intermediate bulk containers (IBCs). An adaptive large neighborhood search (ALNS) algorithm effectively solves this complex routing optimization challenge.

Keywords:
Adaptive large neighborhood search algorithmMulti-objective optimizationTemperature-based time windowsVehicle routing problem

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Area of Science:

  • Operations Research
  • Logistics Management
  • Environmental Science

Background:

  • The sharing economy has led to the rise of shared intermediate bulk containers (IBCs).
  • High temperatures significantly impact the optimal routing of vehicles transporting hazardous materials (hazmat).
  • Existing routing models often do not account for temperature-dependent constraints.

Purpose of the Study:

  • To propose a variant of the hazmat vehicle routing problem that integrates shared IBCs.
  • To develop a refined mixed non-linear integer programming model considering temperature-based time windows.
  • To introduce a novel adaptive large neighborhood search (ALNS) algorithm for solving this problem.

Main Methods:

  • Formulation of a mixed non-linear integer programming model.
  • Integration of temperature-based time windows into the routing model.
  • Development and application of a novel adaptive large neighborhood search (ALNS) algorithm with new heuristic operators.

Main Results:

  • The proposed ALNS algorithm effectively solves the hazmat vehicle routing problem with shared IBCs and temperature-based time windows.
  • Numerical examples using the Solomon set demonstrate the algorithm's suitability.
  • Quantification and integration of temperature-based time windows were achieved.

Conclusions:

  • The developed model and ALNS algorithm provide an effective solution for optimizing hazmat logistics with shared IBCs under varying temperatures.
  • This research contributes to more efficient and safer transportation of hazardous materials.
  • The findings highlight the importance of considering environmental factors in vehicle routing optimization.