Designing Stochastic Two-Echelon Distribution Networks

Imen Ben Mohamed (1, 2) , Francois Vanderbeck (3, 2) , Walid Klibi (1)

1 Kedge Business School [Talence]
2 Realopt - Reformulations based algorithms for Combinatorial Optimization
3 IMB - Institut de Mathématiques de Bordeaux

Delivering manufacturing goods from production platforms to demand zones is often managed through one or more intermediate locations where storage, transhipment and consolidation activities are performed. When distribution activities cover a large geographical area, depending on hierarchical inventory rules, or concerning urban deployment, multi-echelon network configurations are more appropriate [1]. This type of configuration allows considerable savings compared to direct deliveries from one main depot : intermediate location help to reduce the many freight vehicles going into cities.

Mots clés: Sample average approximation; Distribution design problem; Multi-cycle; Uncertainty

Domaines: Recherche opérationnelle [math.OC]

Imen Ben Mohamed, Francois Vanderbeck, Walid Klibi. Designing Stochastic Two-Echelon Distribution Networks. ROADEF 2017 - 18ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2017, Metz, France. ⟨hal-01675701⟩