Analysis of the Simulation-Evaluation Model

In this paper, we construct a “Simulation-Evaluation” model to quantitatively analyze the maturity of ICM's D&A system using Petri net and simulate the effect caused by ICM's decisions on its performance and D&A maturity. Specifically, we use the entropy weight method and the grey relational analysis method to calculate the weights of 7 indicators and determine the final weights according to the minimum entropy principle. In addition, we establish a theoretical model based on company finance and a relationship chain of “decision variables-simulation model parameters-system performance-evaluation model indicators.” Further, we use the Apriori algorithm to analyze the correlation between the indicators in the model and verify the effectiveness of the “simulation-evaluation” model. Finally, the model is extended with sensitivity analysis.