Abstract
The article deals with the use of a production function model for the description of production process and the solution of practical problems, such as choice of technological method of production, rational and effective use of invested funds. Analysis of the production process is carried out by the example of Urals Stampings Plant. The analysis consists of two parts. In the first part with the use of regression analysis the production function is evaluated and the elasticity of revenue is calculated on the cost for main types of resources. In the second part of the analysis with the help of artificial neural networks constructing authors investigate the significance of influence the dynamics in the number of production factors and productivity on the physical volume of the issue. In conclusion, the authors provide recommendations for the implementation to increase the level of productivity of the investment strategy for the Urals Stampings Plant.
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