A variant of the split vehicle routing problem with simultaneous deliveries and pickups for inland container shipping in dry-port based systems
which is joint work with Stefano Fazi, Jan Fransoo and Jing-Xin Dong, is now published in Transportation Research Part E: Logistics and Transportation Review. The coming 50 days you can freely access the paper here.
In this paper, we study a typical problem in inland container shipping, concerning the barge transportation of maritime containers between a dry port and a set of seaport terminals. The barges depart from the dry port and visit a set of sea terminals, where containers need either to be dropped off or picked up. The goal is to achieve economies of scale with barges and avoid trucking as much as possible. The decision thus involves finding the best allocation of containers to barges in order to guarantee on-time delivery and meet capacity restrictions.
The problem is modeled as a variant of the split vehicle routing problem with simultaneous pickups and deliveries coupled with time features. The model includes parameters that can be tuned to improve barge utilization and travelling distance. A hybrid local search meta-heuristic algorithm, combined with a branch-and-cut solver, will be developed to solve the model. Numerical experiments are conducted to test the performance of the algorithm and provide solution analysis for practical insights. Real-world data is collected from a local barge operator based in the Port of Rotterdam region and will be used as input for the experiments.
The proposed framework complements existing models in the literature and contributes to the development of a comprehensive set of decision support tools, which help in the decision-making process for inland terminals.