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Impact of digital integration of logistics cluster participants on supply chain resilience

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Parent Category: 2026

Category: Content №2 2026

Created on 25 April 2026

Last Updated on 25 April 2026

Published on 30 November -0001

Written by S. E. Bekzhanova, G. M. Imasheva, B. M. Issina, A. V. Mukhametzhanova, V. V. Lytvyn

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Authors:

S. E. Bekzhanova, orcid.org/0000-0001-6272-9567, Satbayev University, Almaty, Republic of Kazakhstan

G. M. Imasheva*, orcid.org/0000-0003-3604-3320, Satbayev University, Almaty, Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

B. M. Issina, orcid.org/0000-0003-4525-340X, Abylkas Saginov Karaganda Technical University, Karaganda, Republic of Kazakhstan

A. V. Mukhametzhanova, orcid.org/0000-0003-3577-3831, L. N. Gumilyov Eurasian National University, Astana, Republic of Kazakhstan

V. V. Lytvyn, orcid.org/0000-0002-1572-9000, Dnipro University of Technology, Dnipro, Ukraine

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2026, (2): 131 - 140

https://doi.org/10.33271/nvngu/2026-2/131

Abstract:

Purpose. Quantitative assessment of the impact of the level of digital integration of participants in the raw materials logistics cluster of Kazakhstan on the stability and controllability of iron ore supply chains based on hybrid modelling.

Methodology. The research methodology is based on hybrid simulation modelling, combining multi-agent modelling (MAS) and system dynamics (SD) to describe the functioning of a raw materials logistics cluster. The model with a discrete time step of one day simulates the behaviour of the mines, transport operator and metallurgical enterprise, as well as the dynamics of supplies, inventories and order formation based on the base-stock policy. The level of digital integration is set by a scalar parameter that affects information lags, correlation of failures and coordination of participants’ decisions.

Findings. It is shown that an increase in the level of digital integration in the considered operating modes of the system leads to a decrease in the standard deviation of total daily supplies and a decrease in the probability of shortages. A significant weakening of the bullwhip effect has been established: the ratio of supply variation to demand variation decreases by more than half – from 4.6 to 2.1. The nonlinear threshold nature of the influence of digital integration on the dynamic stability of the system has been revealed, which manifests itself in the dependence of the time of inventory restoration on the level of digitalization and the mode of operation of the logistics system.

Originality. A hybrid SD + MAS model has been developed, calibrated on a real raw material logistics cluster in Kazakhstan, and the threshold nature of the impact of digital integration on the sustainability and controllability of raw material supply chains has been identified.

Practical value. The developed model allows one to assess the consequences of the introduction of cluster digital platforms, considering the operating mode of the logistics system and the large-scale parameters of the raw materials cluster. When planning the digitalization of raw materials logistics clusters, it is necessary to consider not only the target level of information systems integration, but also the current operational state of the supply chain, including capacity utilization levels, inventory structure and system sensitivity to information lags.

Keywords: digital integration, raw materials logistics, supply chains, modelling, sustainability

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