A multi-agent knowledge model for SMEs mechatronic supply chains. - Université Savoie Mont Blanc Access content directly
Journal Articles Journal of Intelligent Manufacturing Year : 2012

A multi-agent knowledge model for SMEs mechatronic supply chains.


The main concern of this research work is to analyse and model supply chains (SCs) in a particular context which is that of small and medium enterprises (SMEs) in the field of mechatronic. The study is based on the analysis of the organisational features, the actors' behaviour, and performance considerations. The development of the model relies on an iterative framework that progressively integrates different aspects into the model. This framework is the ArchMDE process, which is based on MDE (Model Driven Engineering). A major feature of this work lies in its contribution to two different areas of research. The first contribution of the work is to propose a generic metamodel for SCs. Based on a literature review, an incremental framework is proposed for the modelling of SCs in terms of concepts, structure and relationships. The application of the framework to the studied context is described and its result is a domain-metamodel for SCs. The second contribution of this work lies in the formalisation of the dynamic behaviour of the concepts in the metamodel. This formalisation is based on the multi-agent approach. An agentification of the metamodel is thus drawn, thanks to the natural links between multiagent theory and SC reality. This step leads to an agentified-domain-metamodel which also includes the monitoring of the SC and synchronisation protocols. By adding relationships and dynamic behavior aspects, we obtain a metamodel of the domain that can be implemented, with its static and dynamic aspects. To validate this model, an industrial case study is detailed and has been instantiated and encoded in JAVA.


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hal-00627502 , version 1 (08-01-2013)



Jihène Tounsi, Georges Habchi, Julien Boissiere, Selma Azaiez. A multi-agent knowledge model for SMEs mechatronic supply chains.. Journal of Intelligent Manufacturing, 2012, 23 (2647-2665), pp. 2647-2665. ⟨10.1007/s10845-011-0537-1⟩. ⟨hal-00627502⟩
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