Predictive algorithm to improve logistics in an industry 4.0 environment

Industrial analytics - predictive algorithm - optimised logistics
 
challenge

Challenge: In the Antwerp harbor, millions of containers are handled per year. They come and go by ship, rail, or road. Not surprisingly, some containers may get ‘lost’ for a while in the busy harbor area. It was our task to develop a concept that solves this problem and improves the logistics efficiency.

 
 
industrial analytics
 

Business goal: Knowing the next means of transport for a container to optimize the container movements and temporary storage in the harbor area.

Workflow: We used ERP information to retrieve insights in the logistic process of containers at the port of Antwerp. This enables the port to make data-driven decisions concerning the physical organisation of the containers. Thanks to this data-driven decision the process is much more cost-efficient.

Outcome: For a proof of concept, we used container origin and destination data to predict the next means of transport, and this does indeed have the ability to improve logistics efficiency within the harbor area.

 
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