Abstract. The article considers the environmental economic model of risk management and the costs associated with them. In the field of eco-friendly construction and labor safety, it is customary to allocate occupational hazards and hazards, expressed by quantitative or qualitative parameters of occupational risk. Risk management or environmental risk means the recognition and analysis of risks, the development and implementation of management decisions to reduce the likelihood of adverse situations, as well as the possible reduction of material or other losses. Risk management helps to get out of the zone of uncertainty into a situation with more or less predictable results. The methodology for applying the environmental economic model under consideration is a cyclic order of performing interrelated practical actions known as the Deming-Shewhart cycle, which is inextricably linked to the process approach and the quality management system. Synthesis of the principles of the quality management system and mechanisms for managing environmental risks and costs ensures high adaptability to any external and internal stress situations, reveals professional risks in a timely manner, optimizes processes and, as a result, reduces costs.
The article presents a comprehensive review of the FMEA analysis (the failure modes and effects analysis) in the construction industry in the Russian Federation and suggests the same analysis, which can be applied to ecological issues. The paper analyzes the existing legislative and normative acts in this area, modern approaches to the introduction and regulation of the definition of defects in production and construction. Particular attention is paid to the consideration of Failure Mode and Effects Analysis - this is a formalized procedure for analyzing and finalizing the projected technical facility, the manufacturing process, the operation and storage rules, the maintenance and repair systems of technical facilities, based on the identification of possible (observed) defects with their consequences and cause-effect relationships in their occurrence, and an assessment of the criticality of these defects.
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.
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