Use of object-oriented simulation in solving issues of optimal enterprise management

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The current economic situation in the world is very unstable, which significantly affects the further development of companies. Therefore, an important role in choosing the optimal strategy of companies is played by correctly chosen strategic management. The relevance of this issue is confirmed by a large number of publications, both theoretical and practical, not only here in Russia, but also far beyond its borders. The paper presents an algorithmic approach to the possibility of choosing a strategic vector for the development of a company, analyzes the possibility of building and further using a modernized SWOT matrix that allows the formation of strategic alternatives for the company and takes into account future prospects and risks both in the external market and in the domestic market, and substantiates the weaknesses of this approach leading to loss of data in the study of risk conditions. The paper presents and substantiates the possibility of using simulation tools, as well as the apparatus for probabilistic evaluation of results using estimated weighting factors. The weight coefficients of the objective function in each local case for the corresponding alternative are presented using a specific logical term, and it also becomes possible to describe some restrictions from the allowable space using a conceptual interpretation. In this case, the use of fuzzy logic methods allows us to write down the problem of multi-alternative optimization, taking into account the fact that each alternative can be associated with a specific fuzzy set that best reflects the level of optimality for each objective function in the corresponding alternative of the decision being made. It should be taken into account that any compromise alternative belongs simultaneously to the space of acceptable alternatives and the space of the most optimal solutions.

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Alternative, solution optimality, criterion, strategy, weight coefficients

Короткий адрес: https://sciup.org/140297658

IDR: 140297658   |   DOI: 10.20914/2310-1202-2022-3-345-351

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