COMPETITIVENESS RECOVERY OF THE ENTERPRISES ECONOMIC ACTIVITIES

Margarita Perova ()
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Margarita Perova: Vologda State Technical University, Russia

Yearbook of the Faculty of Economics and Business Administration, Sofia University, 2014, vol. 12, issue 1, 183-193

Abstract: Competitiveness recovery of the enterprises is based on optimal managerial decision making. The simulation modelling of enterprises’ economic activities serves this purpose. The simulation model is modeled for a retrospective economic analyzing and (or) an economic activities’ prediction. Variation of initial economic indicators values combined with parameters’ changes of an external environment allows to simulate a retrospective, current and perspective enterprise economic condition. Thus the enterprise economic activities are divided into subsystems, modules, the elementary phenomena. Their functioning is described by a set of algorithms which simulate distinct components of the enterprise economic activities. For example, the simulation model of poultry factory economic activities allows to make its complex retrospective analysis and prediction. Prediction is made for the different external environment development scripts. While changing one or several external environment parameters (for example, inflation indexes) in simulation model corresponding blocks, the economic and analytical parameters of the prediction year-by-year activity are recalculated. In each scenario the economic and analytical parameters prognostic calculation is made with the efficiency function, for example, to achieve a maximum profit from the product realization with minimization of cumulative expenses for birds’ feeding diets. As the set of probable enterprise development strategies is not limited by means of imitation, so it allows the management “to play” different behaviour strategies with the help of simulation model and to make optimum managerial decisions.

Keywords: competitiveness recovery; enterprises; simulation modelling. (search for similar items in EconPapers)
Date: 2014
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