Influence of uncertainty of initial data on the efficiency of statistical simulation modeling non-reflexive system. Part 2. Differentiation of stochastic factors on the effect on the efficiency

In this article considers the problem of analysis of the effect of initial data uncertainties on the results of the statistical simulation. The object of study is a complex hierarchical non-reflexive system. The uncertainty of the initial data is taken into account in the formation of random numerical values, modeling the stochastic factors that affect the process of the functioning (working) non-reflexive hierarchical system. In the first part of the article presents the SSM-model of the business process «Provision of state and municipal services» Multifunctional Center (MFC) in Tyumen region. Model has been chosen as a test object for further research. In the second part of the article presents the results of experiments on the example of the selected test model and the analysis of the obtained values. And also have been made findings on the impact of the uncertainty of initial data on the effectiveness of the SIM.