Towards Improving Supply Chain Coordination through Agent-Based Simulation

  • Areti Manataki
  • Yun-Heh Chen-Burger
  • Michael Rovatsos
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 71)


One of the most significant paradigm shifts of modern business management is that individual businesses no longer compete as autonomous entities but rather as supply chains. However, the majority of companies, especially small and medium enterprises, fail to design and manage their supply chains in a profitable way, as it is difficult to understand the complex dynamics of Supply Chain Management (SCM). In this paper we argue that agent technologies can provide an intelligent solution to the improvement of SCM. We present a multiagent-based framework for simulating supply chain (SC) operation and re-configuration, with the vision of helping to improve overall SC performance and coordination. The suggested key innovation lies in the better explanation of simulation results and its attractiveness to SCM practitioners. Its theoretical conceptualisation, a logic-based formalisation and the system’s architecture that combines agent technologies with business rules and business process modelling are presented.


Supply Chain Management Multiagent System Business Process Model Business Rule Supply Chain Performance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Areti Manataki
    • 1
  • Yun-Heh Chen-Burger
    • 1
  • Michael Rovatsos
    • 1
  1. 1.School of InformaticsThe University of EdinburghEdinburghUK

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