Modeling of situational strategies with application of neural networks on the example of the industrial enterprise

ББК 65.291.2УДК 338.24


Моделирование ситуационных стратегий с применением нейронных сетей на примере промышленного предприятия
Modeling of situational strategies with application of neural networks on the example of the industrial enterprise
Volovikov Boris
Omsk Institute (branch) of Russian State Trade Economic University

The summary
       In the article a new approach to the choice of strategy of the enterprise’s development, based on the use of neural networks is given. The elaborated hybrid algorithm has been approved in the process of working out the strategic plan of the industrial enterprise’s development, the adequacy is estimated. The advantages of the method and its characteristic features are revealed.
Keywords
       Enterprise’s strategies, neural networks, method of decision tree, situational analysis


   Strategic management as a scientific trend is constantly developing, improving its methodological base. The vector of evolutional development of methods of the industrial enterprise’s development management is directed to a fuller use of information and reasonability of the approach for making the managerial decisions. The peculiarities of modern methodology of the enterprise’s strategic management are, on the one hand, the factor of uncertainty, caused by processes’ stochasticity in the external environment, on the other - the necessity of making concrete managerial decisions. Explicit contradictions between the presence of the conditions of uncertainty in the external environment and the necessity to make a definite managerial decision, demanding the quantitative assessment, create the necessary prerequisites for creating a new approach to forming the enterprise’s strategy. There is a demand in the approach that will allow uniting methods of external environment investigation under conditions of uncertainty and methods of strategic planning.
   At the present moment trends, related to application of artificial intelligence systems, are successfully developing in Economics and Sociology. On the basis of collected information and experts’ experience, artificial intelligence systems allow providing the support to making managerial decisions on the basis of quantitative assessment of external environment. Well-known methods of matrix analysis don’t allow taking into consideration those regularities of external and internal processes, and also all the factors, that allow analyzing the situation on the