An Approach of Decision-Making Support Based on Collaborative Agents for a Large Distribution Sector

El Habib Nfaoui (1) , Omar El Beqqali , Yacine Ouzrout (1) , Abdelaziz Bouras (1)

1 LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production

This paper applies the multi-agent systems paradigm to collaborative coordination and negotiation in a global distribution supply chain. Multi-agent computational environments are suitable for a broad class of coordination and negotiation issues involving multiple autonomous or semiautonomous problem solving contexts. An agent-based distributed architecture is proposed for better management of rush unexpected orders for which the quantity of product cannot be delivered partially or completely from the available inventory. This type of orders can be generated by unexpected swings in demand or unexpected exceptions (problem of production, problem of transportation, etc.). This paper proposes a first architecture and discusses an industrial case study.

Mots clés: Supply chain management; Demand uncertainty; Rush unexpected order; Multi-agent systems; Agent-UML

Domaines: Système multi-agents [cs.MA]

El Habib Nfaoui, Omar El Beqqali, Yacine Ouzrout, Abdelaziz Bouras. An Approach of Decision-Making Support Based on Collaborative Agents for a Large Distribution Sector. IJISSCM, 2008, Volume 2 (Issue 2), pp.16-35. ⟨hal-00442050⟩