Abstract
The chapter analyzes the impact of the training system in the field of cyber-physical production processes for the oil industry of the Samara region. Mathematical models in the form of the production function are Cobb–Douglas linking the efficiency of the petrochemical cluster of indicators of activities supporting the University in the Samara region. On the obtained mathematical models the forecast for oil production and refining volumes is shown, depending on the training of qualified specialists in the university taking into account the regular nature of economic conditions. Based on the DEA (Data envelopment Analysis) methodology, in the period under review, the comparative performance indicators of the oil industry in the Samara region as a cyber-physical production system are evaluated.
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The reported study was funded by the Russian Foundation for Basic Research (RFBR), according to research project No. 20-08-00240.
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Baykina, N., Golovanov, P., Livshits, M., Tuponosova, E. (2021). Forecast of the Impact of Human Resources on the Effectiveness of the Petrochemical Cyber-Physical Cluster of the Samara Region. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds) Society 5.0: Cyberspace for Advanced Human-Centered Society. Studies in Systems, Decision and Control, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-63563-3_10
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