The development of automated risk assessment systems is a promising area for scientific research in the field of OSH management. The paper analyses the main problems of the functioning of the OSH management system and identifies the need for its improvement in order to reduce occupational injuries. As a way to improve it, we propose the development and implementation of an automated system for forecasting and managing professional risks (AS FMPR), which implements an algorithm for multivariate analysis of the causes of occupational injuries. The stages of risk assessment are considered. The aim of this work is to assess the applicability of automated risk assessment systems to ensure the safety of personnel at construction sites. The results of the distribution of the probability of injury to workers depending on the factors studied are presented. This system will bring the procedure for assessing occupational risks in construction to a whole new level.
The article proposes a decision-making model using a fuzzy analysis of production incidents for various factors. For the analysis, a database of factors of industrial incidents that occurred in the Belgorod region in 2007-2017 is used. The model is based on a quantitative assessment of the degree of belonging of the current value of the state parameters to each of the scenarios of severity of consequences at the corresponding point. This model is implemented in an expert decision support system for occupational safety and risk management. The use of such systems allows one to provide multivariate analysis of occupational injuries and occupational risk factors and to identify groups of workers for whom the level of occupational risk exceeds acceptable values.
Interactive prediction of incidents is a modern direction of labor protection, that allows managing the occupational safety level. The paper shows that the so-called “human factor”, including the psychological unpreparedness of workers to perform work (both work managers and direct implementers), is the main cause of industrial injuries, in addition to technical and organizational causes. In this regard, the urgent issue is the need to take into account and analyse the psychological state of the worker for predicting incidents. The article discusses the psychological aspects of occupational safety on the example of workers performing work at height that relate to work of high danger. However, the “height factor” is common in various areas of production, which necessitates a scientific analysis of its impact on the psychological state of the worker and on the level of occupational safety. The paper provides information on the system of interactive prediction of incidents, one of the elements of which is the module of testing the psychological state of the employees for identifying workers who are least suitable for this type of work.
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