Return to port prediction algorithm

Optimising logistics and reducing costs through return to port prediction.

Algorithme de Prédiction du retour au port

Background

  • Faced with strong competition from large European industrial fleets, small-scale fishing enterprises need optimised operations to maintain their economic sustainability.
  • La Coopérative Maritime Étaploise wants to optimise its logistics operations, accurately estimating the date and time the ships return to port in order to guarantee the availability of the logistics chain.

 

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Development of algorithms to detect operations and predict ships’ return to port, and development of a web application to view the results in order to optimise operations and reduce logistics costs.

OSE's missions : Data Science & Computer Science

  • Recovering, storing and processing historical and real-time data
  • Big data analysis and contextualisation
  • Development of an operation detection algorithm
  • Development of an ETA (Estimated Time of Arrival) prediction algorithm
  • Development of a web application to view the results

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Intelligence artificielle : performance d'une coque de navire

Benefits of OSE's solution

Better organisation of resources at the port and optimised fish processing logistics.

3 OSE developers mobilised

In 4 months

Codevelopment with different stakeholders, from fishing boat captains to logistics coordinators