摘要：This paper shows a project risk management system model allowing enterprises to better identify risks in the sphere of housing and communal services and to manage them throughout the life cycle of the project. It shows the most popular methods of risk probability assessment and tries to indicate the advantages of the robust approach over the traditional methods. Modern development of project management as well as the accumulated knowledge and experience in this field made it possible to integrate project management knowledge into a single system model. Within the framework of this model, standard and robust approaches are applied and expanded for the tasks of project data analysis. The suggested algorithms used to assess the parameters in statistical models allow to obtain reliable estimates. In this study, the classification of risks was determined by the degree of relevance. I conducted an analysis of statistical data, such as requests for maintenance of housing stock of different service lives. The frequency of failures in the work of housing organizations was determined and the probability of accidents was calculated. Taking into account these calculations, the housing stock was graded according to the degree of admissibility of the risk of its maintenance.
