Production engineering

Production and Logistics

This theme focuses on advanced mathematical and algorithmic tools to optimize logistics and production, integrating environmental considerations and the transformation toward the Industry of the Future

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Loco2 activity

Major contributions concern the modelling and optimization of production and transportation planning activities. The research efforts are oriented towards the implementation of advanced methodologies in approximate optimization (metaheuristics) and exact optimization (integer linear programming, decomposition methods) to overcome the complexity of the related problems (NP-hard problems).

Two fields of application are privileged by integrating the dimension of emissions reduction in the objective function:

City logistics.

This axis focuses on multi-level vehicle routing problems, flow problems in distribution systems (in collaboration with Kyoto University and the Inria center of the University of Bordeaux).

Reconfigurable Manufacturing Systems

In the framework of the factory of the future, this work targets on workshop layout problems equipped with transport systems based on autonomous mobile robots.

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News

Latest news from the team

THESIS DEFENSE of Amine CHIBOUB - April 27, 2026

Amine CHIBOUB will defend his thesis on April 27, 2026 at 2:00 pm in the amphitheater JP DOM of the IMS Laboratory, on the subject: “Contribution of Learning Algorithms to Optimise Reconfigurable Manufacturing Systems”.

THESIS DEFENSE of Sylvain LICHAU - February 4, 2026

Sylvain LICHAU will defend his thesis on February 4, 2026 at 2:00 pm in the amphitheater E of building A29, University of Bordeaux, on the subject: “Solving vehicle routing problems with drones in urban logistics: an approach based on exact and approximate optimization methods”.

Members

Staff

Meet the members of the research team

Amine CHIBOUB
Mehmet DEMIR
Jean-Christophe DESCHAMPS
Remy DUPAS
Julien FRANCOIS
Sylvain LICHAU
Anne Zouggar
Résumé en français

Cette thématique s’intéresse aux outils mathématiques et algorithmiques avancés pour optimiser la logistique et la production, en intégrant les considérations environnementales et la transformation vers l’industrie du futur

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