Biblio

Filters: Author is Abdoulaeva, Zinaida I.  [Clear All Filters]
2022-08-26
Nedosekin, Alexey O., Abdoulaeva, Zinaida I., Zhuk, Alexander E., Konnikov, Evgenii A..  2021.  Resilience Management of an Industrial Enterprise in the Face of Uncertainty. 2021 XXIV International Conference on Soft Computing and Measurements (SCM). :215—217.
Purpose: Determine the main theoretical aspects of managing the resilience of an industrial enterprise in conditions of uncertainty. Method: The static control methods include the technology of the matrix aggregate computer (MAC) and the R-lenses, and the dynamic control methods - the technology based on the 4x6 matrix model. All these methods are based on the results of the theory of fuzzy sets and soft computing. Result: A comparative analysis of the resilience of 82 largest industrial enterprises in five industry classes was carried out, R-lenses were constructed for these classes, and the main factors affecting the resilience of industrial companies were evaluated. Conclusions: The central problem points in assessing and ensuring the resilience of enterprises are: a) correct modeling of external disturbances; b) ensuring the statistical homogeneity of the source data array.