| Title | Resilience Management of an Industrial Enterprise in the Face of Uncertainty |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Nedosekin, Alexey O., Abdoulaeva, Zinaida I., Zhuk, Alexander E., Konnikov, Evgenii A. |
| Conference Name | 2021 XXIV International Conference on Soft Computing and Measurements (SCM) |
| Keywords | 4x6 matrix model, adverse effects (AE), Aggregates, Companies, Computational modeling, control theory, Enterprise Resilience, Human Behavior, human factors, matrix aggregate calculator (MAC), Oceans, Position measurement, pubcrawl, R-lenses, resilience, Resiliency, Scalability, Sea measurements, Uncertainty |
| Abstract | 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. |
| DOI | 10.1109/SCM52931.2021.9507161 |
| Citation Key | nedosekin_resilience_2021 |
Resilience Management of an Industrial Enterprise in the Face of Uncertainty