Hybrid Berth Allocation for Bulk Ports with Unavailability and Stock Level Constraints

Hybrid Berth Allocation for Bulk Ports with Unavailability and Stock Level Constraints

Lyu, X. (TU Delft Transport Engineering and Logistics)
Schulte, F. (TU Delft Transport Engineering and Logistics)

de Armas, Jesica (editor)
Ramalhinho, Helena (editor)
Voß, Stefan (editor)

2022

Berth allocation is fundamental to port-related operations in maritime shipping. Port managers have to deal with the increasing demands either by expanding the terminals or by improving efficiency to maintain competitiveness. Port expansion is a long-term project, and it requires much capital investment. Thus, the question of how to enhance the efficiency of berth allocation has received much research interest. Research on the Berth Allocation Problem (BAP) in container ports is quite advanced. However, only limited research focuses on BAP in bulk ports, although some similarities exist. Contributing to Operations Research approaches on the BAP, this paper develops a hybrid BAP mixed-integer optimization model dedicated to bulk ports. In addition to considering the handling characteristics of bulk ports, we also incorporate more practical factors such as unavailability and stock levels. The objective of the proposed model is to minimize the demurrage fee for all vessels under consideration of unavailability and stock constraints. We use the commercial software CPLEX to obtain the optimal solutions for a set of distinct instances, explicitly considering the situation of multiple cargo types on one vessel, which provides a better fit for the loading or discharging operations in real-world bulk ports. This is the first study to our knowledge that dedicates itself to the BAP in bulk ports and considers unavailability and stock constraints simultaneously. Our solutions can provide timely and effective decision support to bulk port managers.

Berth Allocation Problem
Bulk ports
Mixed-integer program
Optimization
Stock levels
Unavailability

http://resolver.tudelft.nl/uuid:d52aa9ec-15af-4fee-8211-d014bd66a937

https://doi.org/10.1007/978-3-031-16579-5_1

Springer

2023-03-14

978-3-031-16578-8

Computational Logistics -: Proceedings of the 13th International Conference, ICCL 2022

13th International Conference on Computational Logistics, ICCL 2022, 2022-09-21 → 2022-09-23, Barcelona, Spain

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 13557 LNCS

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2022 X. Lyu, F. Schulte