Work

Supply chain resilience under stochastic disruptions: graph-flow model and computational framework

Year: 2026

Type: software

Abstract: Code, configurations and experimental results supporting the article "Supply chain resilience under stochastic disruptions" (Applied Aspects of Information Technology, 2026, Vol. 9, No. 4). Contains the network generators, the stochastic disruption models, the baseline recovery protocol, the metric implementations, the statistical analysis scripts, and the raw and aggregated results of all five experimental stages reported in the article.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23843542

Authors: Pohorielov, Stanislav V., Yanovskyi, Oleksii V.

Institution: National Technical University "Kharkiv Polytechnic Institute"

Language: English

Topic: Supply Chain Resilience and Risk Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7225006816

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