Optimization of external container delivery and pickup scheduling based on appointment mechanism.

ABSTRACT: Port transport efficiency has become an urgent issue that needs to be improved, especially the coordination among truck drivers during peak hours. Previous studies mainly focus on one-way container transportation logistics issues, but container movements often occur simultaneously in both directions in practice. Therefore, this study aims to minimize truck companies' operational costs by establishing an optimization model for external truck scheduling. This model takes soft time windows and an appointment feedback mechanism into consideration. Building upon the traditional Ant Colony Optimization (ACO) algorithm, this paper introduces an adaptive version of the ACO algorithm. The improved Ant Colony Optimization algorithm (IACO) incorporates a time window width impact factor and a time dev

SUBMITTER: Huang P 

PROVIDER: S-EPMC11844885 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature