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 multi-paradigm
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.
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