A mixed integer linear programming model (MILP) was developed to define thresholds of criticality to characterize the three maintenance strategies.
Un modèle mathématique MILP a été développé pour la définition des limites de la criticité afin de caractériser les trois stratégies de maintenance.
Finally, a second mixed integer linear programming model (MILP) was developed based on the proposed heuristic.
Enfin, un deuxième modèle mathématique MILP a été développé en se basant sur l'heuristique proposée.
We propose an integer linear programming model.
Then, we apply an integer linear programming model that guides the compression of these clusters based on a list of keywords.
Then, a multi-period mixed integer linear programming model is proposed to optimize a multi-biomass supply chains for several bio-refineries, at the tactical and strategic level.
Ensuite, un modèle linéaire multi-période à variables mixtes est proposé pour optimiser au niveau tactique et stratégique une chaîne logistique multi-biomasse.
We first develop a mixed integer linear programming model (MIP) for this problem which is then solved directly with a commercial solver.
For this problem, we propose a new integer linear programming model, valid inequalities and a Branch-&-Cut solution method.
In that purpose, a simulation framework for supply chain planning based on a mixed integer linear programming model, implemented with Xpress-MP(r), is proposed.
Pour cela, une modélisation locale de la planification des chaines logistiques basée sur un modèle linéaire en variables mixtes multipériode, multiproduit, implémenté avec le logiciel Xpress-MP(r), est proposée.
In that purpose, a simulation framework for supply chain planning based on a mixed integer linear programming model, implemented with Xpress-MP(r), is proposed.
A mixed integer linear programming model for the Rough-Cut Capacity Planning problem with overlapping is proposed.
In this thesis, we modelthis problem as an Integer Linear Programming model.
It presents an approach allowing to select a design solution and to specify the supply chain layout thanks to a mixed integer linear programming model.
In this thesis, we modelthis problem as an Integer Linear Programming model.