Intelligence without representation
Artificial Intelligence
The value of simulation in modeling supply chains
Proceedings of the 30th conference on Winter simulation
Experience using the IBM supply chain simulator
Proceedings of the 30th conference on Winter simulation
Multiagent systems
Industrial and practical applications of DAI
Multiagent systems
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Supply chain simulation with discrete-continuous combined modeling
Computers and Industrial Engineering - Supply chain management
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
What Can Agents Do in Industry, and Why? An Overview of Industrially-Oriented R&D at CEC
CIA '98 Proceedings of the Second International Workshop on Cooperative Information Agents II, Learning, Mobility and Electronic Commerce for Information Discovery on the Internet
IFM '02 Proceedings of the Third International Conference on Integrated Formal Methods
Simulation in the supply chain context: a survey
Computers in Industry
An advanced supply chain management tool based on modeling and simulation
Computers and Industrial Engineering
Dynamic modeling and control of supply chain systems: A review
Computers and Operations Research
Electronic Commerce Research and Applications
Semi-heterarchical Allocation and Routing Processes in FMS Control: A Stigmergic Approach
Journal of Intelligent and Robotic Systems
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The main concern of this research work is to analyse and model supply chains (SCs) in the particular context 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.