Mathematical Models and Algorithm to solve Logistics Optimization Problems in SEAT-Volkswagen

Logistics optimization

Supply Chain
Simulation and optimization
More information


The aim The main focus of this Industrial PhD project was on the optimization of the internal logistics of the automotive manufacturer SEAT. Overall, the thesis’ objectives were to study, analyze and propose new solution for several internal logistics problems in this company, using new mathematical models, heuristics and simulation algorithm to improve the productivity and reduce costs in this area of the Seat’s Logistics. 

This project was conducted between 2016 and 2019.

Read more

Contact Marcelus Fabri or Helena Ramalhinho from the Operations Research Group.

Would you like to receive more information about 
any of the projects?

More Cases

Method: Simulation and optimization
Marcelus Fabri, Helena Ramalhinho
Logistics optimization
Method: Word embeddings, Spectral clustering
Joan Verdú, Nandan Rao, Omiros Papaspiliopoulos
Analysis of tweets to understand main topics and triggering events, together with tweet toxicity
Method: Optimization
Jésica de Armas, Helena Ramalhinho
Crew optimization

How we can help

Let us train you to acquire those data science analytics skills that you or your team are missing.

Need some help in any analytics challenge you are facing? Get your analytics to the next level: count on us as expert consultants!

Contact us

We’d love to hear from you… Drop us a line to get in touch!

More informacion about this case study

You can ask us for more information about this case study. Leave us your email and you will recieve all the information.