Abstract

The aim of this study is to show, how a Supply Chain (SC) management problem can be formulated in a timed Petri nets framework, and how this model can easily be extended to cover risk management applications. In this paper, the risk management procedures are integrated into design, planning, and performance evaluation process of supply chain networks through Petri net based simulation. The developed methodology provides an environment for defining uncertainties in the system and mitigation of risk factors. We show that, the PN framework provides an easy integration of risk management modules in the supply chain model

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