Topological Approach to Supply Chain Resilience Analysis

The features of the study of the resilience of digital service supply chains as a complex interaction between cloud providers, telecommunication networks, edge delivery systems, authentication services and user devices are presented. The relevance of the problem is substantiated by a number of int ernational standards (ISO/TS 22318, ISO 28002), US federal recommendations (NIST IR 7622, SP 800-160) and European regulations (NIS2 Directive, DORA). The methods of formally representing supply chains for research using graph methods, methods of queuing theory, stochastic methods, as well as representing supply chains in the form of dynamic equations are considered. It is shown that structural analysis can be effectively carried out using the theory of topological spaces.

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Publication Details

Journal
Èlektronnoe modelirovanie
Published
2025-08-07
DOI
https://doi.org/10.15407/emodel.47.04.039
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Topological Approach to Supply Chain Resilience Analysis

Віталій Зубок, G. Dubynskyi
Èlektronnoe modelirovanie
Supply Chain Resilience and Risk Management
article

Topological Approach to Supply Chain Resilience Analysis

Віталій Зубок, G. Dubynskyi
article en

Abstract

The features of the study of the resilience of digital service supply chains as a complex interaction between cloud providers, telecommunication networks, edge delivery systems, authentication services and user devices are presented. The relevance of the problem is substantiated by a number of int ernational standards (ISO/TS 22318, ISO 28002), US federal recommendations (NIST IR 7622, SP 800-160) and European regulations (NIS2 Directive, DORA). The methods of formally representing supply chains for research using graph methods, methods of queuing theory, stochastic methods, as well as representing supply chains in the form of dynamic equations are considered. It is shown that structural analysis can be effectively carried out using the theory of topological spaces.

Èlektronnoe modelirovanieVol. 47(4)
Openalex Percentile: Top 67%
Supply Chain Resilience and Risk Management
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