Assessment of the economic sustainability of light industry enterprises by fuzzy-logical methods

Economy and management of enterprise and complexes
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Abstract:

The impact of the events of recent years on the Russian economy determines the course for the restoration and development of production in various industries. The light industry is included in the pool of industries whose work is aimed not only at retail consumption, but also at ensuring the country’s defense capability. The purpose of the article is to assess the economic sustainability of light industry enterprises using fuzzy-logical methods. The assessment is carried out in two sections: a) international manufacturing companies listed on the stock markets; b) Russian industry companies in the form of joint-stock companies. Methods. A fuzzy logic matrix aggregate calculator (MAC) was used for stability analysis. For linguistic normalization of factor levels, the Nedosekin–Frolov method was used. Since international and Russian data differ significantly in relative terms, it was decided to introduce two industry sections in the analysis: international (DB) and domestic (DB_RU), which gives two sets of linguistic normalizing classifiers for analysis. Results. Based on the results of the analysis, it can be seen that 2020 (the COVID-19 epidemic) had a rather serious impact on international companies, but did not turn out to be fatal for them (resilience was restored, in most cases, within 1 year). This analysis made it possible to determine linguistic standards for assessing the economic sustainability of light industry enterprises. The level of economic stability of Russian light industry enterprises was calculated, which showed that domestic companies cannot boast of economic sustainability in principle, and here, first of all, it is necessary to note low labor productivity, which makes domestic light industry companies uncompetitive, dooming them to lifelong localization in the borders of the Russian Federation. There is a clear demand for state intervention in sectoral economic processes, despite the fact that this is completely contrary to the liberal market paradigm. The main directions of intervention are formulated: supplier factoring, leasing of new equipment at a non-bank interest rate, reverse industrial mortgage of worn-out equipment. Conclusion. MAC technology provides ample opportunities for express assessment of enterprises and industries. However, for the purposes of a refined assessment of economic sustainability, it is necessary to move to more complex modeling and analysis technologies (for example, to a 4x6 strategic matrix).