What is it about?
This paper investigates the use of neural networks for the problem of assigning push boats to barge convoys in inland waterway transportation. Push boat–barge convoy assignments are part of the daily decision-making process done by dispatchers in IWT companies for which a decision support tool does not exist. In this paper Neural Network Ensemble model is made to assist in push boat–barge convoy assignments based on the push boat power.
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Why is it important?
The model and solution methodology given in this paper could be a very useful practical tool for dispatchers to make the right decisions about the assignment of push boats to barge convoys. They can use the best NNE model as a decision support tool to solve their daily assignment tasks, test different solutions related to the planning, routing and scheduling of pushed convoys, and choose assignments which are suitable for their own needs at any given moment.
Perspectives
This paper should be just the beginning of the use of artificial intelligence in solving dispatch problems in river transport. The next aim is to apply machine learning techniques in order to get even better results.
Aleksandar Radonjic
Univerzitet u Beogradu
Read the Original
This page is a summary of: Neural Network Ensemble Approach to Pushed Convoys Dispatching Problems, Polish Maritime Research, March 2020, De Gruyter,
DOI: 10.2478/pomr-2020-0008.
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