IMPROVEMENT OF INFORMATION AND ANALYTICAL PROVISION OF WORK SAFETY MANAGEMENT BASED ON DYNAMIC MODELING

Abstract

The article defines the need to improve the information and analytical provision of labor safety management. This necessity is due to the improvement of labor protection legislation, the introduction of a risk-oriented approach, as well as the imperfection of the methods of substantiating the planning of measures aimed at minimizing risks. It was noted that despite the active use of the latest methods to increase the efficiency of labor protection management, in particular, for risk management, the level of information and analytical support, as an important component of this process, does not ensure the achievement of the expected results. Therefore, the issue of development and practical approval of scientific methods of reasonable planning of measures to increase the level of safety and improve working conditions remains relevant. Taking into account certain shortcomings of statistical methods common in the practice of labor protection management, it is proposed to use the method of dynamic modeling. All real objects that require specialized information and analytical support for their management are considered dynamic. This is explained by the fact that the original object and, as a result, its mathematical model, in general, work in conditions of constant changes that must be taken into account.
 The application of the dynamic model is considered on the example of the justification of an operational decision to reduce the level of dust when using equipment during the work of a block grinder at an enterprise in the mining industry. It is shown that the obtained mathematical model retains its relevance as long as the parameters of the technological process remain unchanged. If the parameters of the technological process change, it is necessary to prepare an array of measurement data under the conditions of new parameters of the technological process, calculate the constant coefficients of the mathematical model and evaluate its accuracy. If the accuracy is satisfactory, simulations should be carried out and the results provided to support management decisions to improve working conditions.