Supply Chain Modeling and Analysis Based on Generalized Stochastic Petri Nets
基于广义随机Petri 网的供应链建模与分析

This paper studied dynamic modeling techniques for analyzing supply chain networks using generalized stochastic Petri nets(GSPN).The advantages of supply chain modeling using Petri net were summarized and then the theory of GSPN was applied to supply chain system modeling and analysis.By utilizing the equivalence relation between GSPN and Markov chain,a method of combining Petri net and Markov chain was used to analyze the performance of supply chain effectively.Finally, a case study was given to verify that this method can analyze the time-based performance and operation efficiency,and the results can be used as reference for decision-makers of supply chain.