A Generic Knowledge Model for SME Supply Chain Based on Multiagent Paradigm

Jihène Tounsi (1) , Julien Boissière (2) , Georges Habchi (1) , Van-Dat Cung (3)

1 QPS
2 LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance
3 G-SCOP_ROSP - Recherche Opérationnelle pour les Systèmes de Production

This chapter is dedicated to the generation of an agentified knowledge model for modeling and simulation of the supply chain in Small and Medium Enterprises (SME) context. For this purpose, the organization of this work is directed by the ArchMDE development process which is founded on Model Driving Engineering (MDE). The fundamental contributions concern two research areas. The first one concerning the industrial engineering scope, proposes a generic domain meta-model (i.e. supply chain integrating SME) identifying the functional concepts and their properties. The second one considering the computer engineering scope, highlights all steps necessary to integrate the dynamic behaviour into the domain meta-model built according to the multi-agent technology. In this perspective, this chapter describes the outcome of these artefacts from the study of the domain through the agentification process, to the implementation of the knowledge model.

Mots clés: Knowledge model Multi-agent system Decentralised supply chain Small and medium enterprises (SMEs)

Domaines: Automatique / Robotique

Jihène Tounsi, Julien Boissière, Georges Habchi, Van-Dat Cung. A Generic Knowledge Model for SME Supply Chain Based on Multiagent Paradigm. H.K. Chan, University of East Anglia, Norfolk, UK; F. Lettice, University of East Anglia, Norfolk, UK; O.A. Durowoju, University of East Anglia, Norfolk, UK (Eds.). Decision-Making for Supply Chain Integration Supply Chain Integration, Springer, pp.23-46, 2012, Decision Engineering, ⟨10.1007/978-1-4471-4033-7_2⟩. ⟨hal-00704391⟩