Today, applications for tracking vessel positions are an important tool in the coordination of maritime transport chains in order to estimate the expected arrival of cargo at a port and thus to obtain an improved planning basis. However, even if the vessel arrives on time, various factors, such as the planned unloading sequence or the capacity utilisation of the terminal, prevent a reliable statement to when cargo will be available for further transport. In practice, the variances in release times can amount to several days, especially against the backdrop of increasing ship sizes. As a result, this "blind spot" can have a considerable impact on the efficiency of the maritime transport chain.
This is where the project "LAVIS - Intelligent Data Analysis for Predicting Cargo Availability within Seaports", funded by the BMVI (German Federal Ministry of Transport and Digital Infrastructure) within the mFund programme, comes in: The main objective is to evaluate the feasibility of approaches for determining the expected cargo availability. The analysis of factors, processes and data sources to be taken into account will thus create the basis for future forecasting services.
The project has a duration of one year and will be jointly carried out by ISL and akquinet port consulting GmbH.