Logistic systems represent a competitive advantage that companies seek to perpetuate. They aim to optimize the different flows that the company has with its suppliers and customers. The current environment, in which logistic systems evolve, is dominated by the uncertainty and dynamicity. Therefore incorporate uncertainty and dynamic character as parameters in the reasoning of the decision-maker has become a major industrial challenge that can limit the vulnerability of logistic systems. In this context, the OSL team studies and develops new specific models and optimization methods for logistic systems to make them effective. Logistic systems studied by the OSL team concern production, transport, healthcare and crisis management.
Slim Hammadi
Intelligence des données au profit de la gestion optimisée inter et intra urgences hospitalières
Alliance entre les SMA et l'optimisation au service de systèmes de mobilité innovante et intelligente
Système d'aide à la décision Medicale intégrant des techniques d'Intelligence Artificielle pour l'aide au diagnostic des maladies
Optimisation de problème de tournées de véhicules de service à domicile 27/06/2017
Analyse de performance de régulateurs de vitesse adaptatifs coopératifs 15/12/2016
Monitoring & Optimization of Cooperative System of Intelligent Vehicles 09/09/2016
Optimisation avancée au service du covoiturage dynamique 26/02/2016
Aide Informatique à la gestion de véhicules partagés et de services de mobilité avancée 02/12/2015
Monitoring & Optimization of Cooperative System of Intelligent Vehicles 24/11/2015
Optimisation de la cartographie et la navigation des robots mobiles coopératifs 18/12/2014
Compromise between robust repetitive scheduling and reactive scheduling based on genetic algorithms 10/12/2014
Real-time optimization of technician tours 28/03/2014