Next generation modeling III - agents: a multi-paradigm simulator for simulating complex adaptive supply chain networks

Authors:
Surya Dev Pathak;David M. Dilts;Gautam Biswas
Affiliations:
Vanderbilt University, Nashville, TN;Vanderbilt University, Nashville, TN;Vanderbilt University, Nashville, TN
Venue:
Proceedings of the 35th conference on Winter simulation: driving innovation
Year:
2003

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Abstract

This paper introduces a multi-paradigm dynamic system simulator based on discrete time and discrete event formalism for simulating a supply chain as a complex adaptive system. Little is known about why such a diversity of supply chain structures exist. Simulating dynamic supply chain networks over extended periods using the multiparadigm dynamic system simulator allows us to observe the emergence of different structures. The simulator is implemented using a software agent technology, where individual agents represent firms in a supply chain network. In this paper, we present an example scenario run on the simulator and the preliminary results that have been observed. This multi-paradigm tool provides a valuable investigation instrument for real life supply chain problems.