Maritime transport is a pivotal logistics mode for the long-distance and bulk transportation of goods. However, the intricate planning involved in this mode is often hindered by uncertainties, including weather conditions, cargo diversity, and port dynamics, leading to increased costs. Consequently, accurately estimating vessel total (stay) time at port and potential delays becomes imperative for effective planning and scheduling in port operations. This study aims to develop a port operation solution with competitive prediction and classification capabilities for estimating vessel Total and Delay times. This research addresses a significant gap in port analysis models for vessel Stay and Delay times, offering a valuable contribution to the field of maritime logistics. The proposed solution is designed to assist decision-making in port environments and predict service delays. This is demonstrated through a case study on Brazil ports. Additionally, feature analysis is used to understand the key factors impacting maritime logistics, enhancing the overall understanding of the complexities involved in port operations.

MARSEILLE, France--(BUSINESS WIRE)--Traxens, a company that provides high-value data and services for the supply chain industry, announces today that it is now part of the new European DataPorts project, aimed at creating a data platform for cognitive ports of the future. With a total budget of €6.7M ($7.3M), the three-year project will receive €5.7M ($6.2M) from the European Union. It is coordinated by the Technological Institute of Informatics (ITI) in Spain. Today, only three per cent of container terminals are automated. However, the future of the industry points towards smart ports as the best way to overcome the challenges and demands that arise in the sector.