Managing the staffing process of the Samara region oil industry

Abstract

The problem of constructing dynamic models in the form of differential equations or transfer functions linking the performance indicators of the oil industry of the Samara region with the performance indicators of a regional university with a large institute of oil and gas technologies, considered as the controlling factors of staffing the oil industry, is solved. The input factors of the model are the normative performance indicators of the Samara State Technical University (SamSTU). The effectiveness of the regional oil cluster of the Samara region is assessed by indicators established by the Federal State Statistics Service (Rosstat), in particular, the amount of oil received for processing. For the algorithm of personnel management of the oil industry of the region, the problem of structural and parametric identification of the personnel training process at the university based on statistical characteristics as experimental data is solved. Using the library of typical linear models of management objects by N.S. Raibman, mathematical models of the process of staffing the industry in the form of transfer functions are constructed. Verification of mathematical models is carried out by comparison with official statistical data. On the basis of the obtained transfer functions, the synthesis of algorithms for automatic management of the personnel management process of the regulatory industry in the management decision support system is carried out.