
Research Article
Berth Allocation Problem in Export Tidal Bulk Ports with Inventory Control
@INPROCEEDINGS{10.1007/978-3-031-30855-0_9, author={Cassio Linhares and Jorge Silva and Marcos Azevedo and Glaubos Climaco and Alexandre C\^{e}sar Muniz de Oliveira}, title={Berth Allocation Problem in Export Tidal Bulk Ports with Inventory Control}, proceedings={Intelligent Transport Systems. 6th EAI International Conference, INTSYS 2022, Lisbon, Portugal, December 15-16, 2022, Proceedings}, proceedings_a={INTSYS}, year={2023}, month={4}, keywords={Berth allocation problem Tidal ports Inventory level constraints Integer Programming Mixed Integer Programming}, doi={10.1007/978-3-031-30855-0_9} }
- Cassio Linhares
Jorge Silva
Marcos Azevedo
Glaubos Climaco
Alexandre César Muniz de Oliveira
Year: 2023
Berth Allocation Problem in Export Tidal Bulk Ports with Inventory Control
INTSYS
Springer
DOI: 10.1007/978-3-031-30855-0_9
Abstract
This paper presents the problem of allocating berth positions for vessels in tidal bulk port terminals (BAPTBI), considering the specific export scenario and robust control over goods’ stock levels. An integer linear mathematical model is proposed for the discrete case (time and quay). The model controls the minimal and maximum inventory levels. A dataset of 59 instances was generated based on data obtained from a relevant bulk terminal in São Luís, Brazil. Through the experiment using the Gurobi solver, it is noticed that some medium-sized instances take more than 1 h to be solved.
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