In this paper, the authors aimed at formalizing an objective method to analyze and assess operational risk in a supply chain network. The proposed method exploits the analogy between the supply chain network and dynamical systems. The authors wish to identify the risky events characterizing a general supply chain by constructing and studying its Petri Net. Here they have tried to simulate the Petri Net of the network through Matlab so they can analyze the results to identify the risky events in the network and more importantly, the contribution of these risky events towards disruption of the system, i.e. stock-outs at the retailer end.