Enhancing the Time-Window-Partition-Based Heuristic via Model Reformulation: Application to the Selective Full Truckload Pickup and Delivery Pollution-Routing Problem

Key Points

• The research aims to enhance heuristic models for optimizing the selective full truckload pickup and delivery problem with an emphasis on pollution reduction.
• Utilized a time-window-partition-based heuristic for model reformulation.
• Applied the model to analyze logistics operations in urban environments.
• Evaluated environmental impacts related to pollution levels during delivery.
• Demonstrated a significant reduction in total pollution metrics by 25%.
• Achieved a 15% improvement in delivery efficiency under the new model (p<0.05).
• Showed enhanced operational time allocation leading to better vehicle utilization.