Management of labor system based on statistical models and simulation

The article considers the problem of the development of decision-making systems in relation to the system of remuneration of labor (LRS) at enterprises. For the introduction of new, more modern and effective types of LRS, decision-makers currently do not have adequate tools. Thus, there is a problem of developing decision support systems (DSS). The key element of the DSS is the LRS models, which provide predictive analytics. However, the compilation of a LRS model is a difficult task due to the factor of randomness and multivariance of LRS. To solve the problem, two approaches to the creation of LRS models are proposed: developing the statistical analytical models and creating the simulation models. In the study, the first approach is considered, namely, an analytical statistical model of one of the piece-rate system is proposed. Formulas are obtained for the probability densities of the resulting indicators of the piece-rate LRS, the statistical characteristics of the indicators and the assessment of the risk of ineffective LRS use are calculated. This will allow significant progress in the development of DSS in the field of labor economics and personnel management.