An Agent-based Strategy for Deploying Analysis Models into Specification and Design for Distributed APS Systems

نویسندگان

  • Luis Antonio de Santa-Eulalia
  • Sophie D'Amours
  • Jean-Marc Frayret
چکیده

Despite the extensive use of the agent technology in the Supply Chain Management field, its integration with Advanced Planning and Scheduling (APS) tools still represents a promising field with several open research questions. Specifically, the literature falls short in providing an integrated framework to analyze, specify, design and implement simulation experiments covering the whole simulation cycle. Thus, this paper proposes an agent-based strategy to convert the ‘analysis’ models into ‘specification’ and ‘design’ models combining two existing methodologies proposed in the literature. The first one is a recent and unique approach dedicated to the ‘analysis’ of agent-based APS systems. The second one is a well-established methodological framework to ‘specify’ and ‘design’ agent-based supply chain systems. The proposed conversion strategy is original and is the first one allowing simulation analysts to integrate the whole simulation development process in the domain of distributed APS.

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عنوان ژورنال:
  • CoRR

دوره abs/1107.3225  شماره 

صفحات  -

تاریخ انتشار 2011