Abstract
Supply chain management is a demanding and complicated task due to
its broad scope and the strong connectedness of its objects and issues.
In order to make theoretical investigations of supply chains feasible
and to support decision-making in real world supply chains, simulation
models are used. An integration of system dynamics and discrete agent-based
modeling is a promising combination of methods for reducing the a
priori complexity of the model. The paper discusses the strengths
and weaknesses of system dynamics and discrete agent-based modeling.
An approach for integration of the two modeling methodologies is
presented. Issues concerning the practical coupling of software environments
and a simple, prototypical supply chain model are discussed. Experiments
for which the integrated simulation solution is applied are described.
Insights in emergent structures in supply chains are derived from
these simulation analyses.
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