Inventory Routing Problem : ré-optimisation sous incertitudes

Dans ce travail préliminaire, deux échelons de la chaîne de distribution sont considérés : un échelon « macro », où un fournisseur doit répondre à la demande de plusieurs

We also describe lower bounds derived from a set-partitioning based formulation (SP ) of the problem, and computed using two efficient dual ascent heuristics that use two new

Genetic algorithm approach for multiple depot capacitated vehicle routing problem solving with heuristic improvements.. International Journal of Modeling and Simulation,

The objectives are to minimize the total routing cost (proportional to travel time) and customer waiting, and to balance the daily workload over the planning horizon.. Each

To avoid passing an infeasible problem to the network flow algorithm (for in- stance when vehicle capacity would be exceeded or when a stockout would occur at a customer due to it

Let g tj = 1 or 0 depending on whether customer x t is an element of S, or not respectively, and let C (Sj ) be the cost of the TSP solution through the set of customers in

The Time- Dependent Travel-Time Constrained (TD-TC-IRP) is a new proposed variant of the IRP where the travelling time between two locations de- pend on the time of departure

The GVRPTW consists in finding M vehicle routes such that the traveling cost is minimized and : (i) every route starts and ends at the depot; (ii) each cluster is visited exactly