Dynamic Modeling and Staffing Management of Regional Production

The problem of constructing dynamic models in the form of differential equations or transfer functions is being solved, linking the performance indicators of the regional oil industry with the performance indicators of the regional university. Structural-parametric identification of the process is carried out, where statistical characteristics are used as experimental initial data. Based on the methodology proposed by the team of authors led by Raibman N.S., using arrays of random data, correlation and cross-correlation functions are built and differential equations are formed that describe the object under study. Using the methods of the theory of automatic control, based on the obtained transfer functions, the synthesis of control systems is carried out (a system for supporting managerial decision-making).