Origin of transport and logistics infrastructure reliability theory in the context of sustainable development of the Arctic zone and the Northern Sea Route
S.E. Barykin, O.V. Kompanitseva
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Abstract: Interpreting reliability as an omnichannel synchronization of a logistics ecosystem, where sustainability is achieved through coordinated interaction between physical, digital, organizational, and institutional components, enables us to take into account the unique characteristics of the Arctic infrastructure, including climate-related risks, network fragmentation, digital inequalities, and the need for flexible routing strategies.
Aim. The paper theoretically justifies the evolution of the concept of transport and logistics infrastructure reliability in the context of sustainable development of the Arctic zone and the Northern Sea Route. It identifies the methodological limitations of existing approaches and proposes a theoretically grounded model for reliability based on omnichannel logistics synchronization that is adapted to the macro-logistical conditions of the Arctic.
Methods. The methodological basis includes comparative-analytical and systematic approaches, as well as the principles of regional analysis of the Arctic.
Results. The paper explores the advancement approaches to the theory of transport and logistics infrastructure reliability, focusing on the specific challenges of the Arctic region and the Northern Sea Route. The article argues for a shift from traditional engineering interpretations of reliability towards a cognitive model that incorporates predictive analytics and the use of digital twins. Reliability is defined as the omnichannel synchronization of the logistics system, ensuring stability and resilience in the face of high levels of territorial and climatic uncertainty. The paper outlines five stages in the development of the concept of reliability: from an engineering-based approach to a more digital and platform-driven paradigm.
Conclusions. The proposed approach highlights the potential of actively managing logistics reliability through the cognitive digital platforms, which can form the foundation for strategic planning of Arctic logistics.
Keywords: logistics, reliability, cognitive models, Arctic, digital platform, spatial development, sustainability, transport and logistics infrastructure
For citation. Barykin S.E., Kompaniitseva O.V. Origin of transport and logistics infrastructure reliability theory in the con-text of sustainable development of the Arctic zone and the Northern Sea Route. News of the Kabardino-Balkarian Scientific Center of RAS. 2025. Vol. 27. No. 4. Pp. 94–103. DOI: 10.35330/1991-6639-2025-27-4-94-103
References
- Bochkarev А.A., Bochkarev P.A. Reliability and stability of supply chains: models and algorithms: monograph. SPb.: Scythiaprint. 2022. 200 p. EDN: YQDGVL. (In Russian)
- Shurpatov I.G., Zaitsev E.I. On methods for calculating the reliability level of supply Chain elements. Logistics and Supply Chain Management. 2011. No. 1. Pp. 31–37. EDN: NXUQGB. (In Russian)
- Kompaniitseva O.V. Logistical integration of the project management system and the region’s infrastructure. Audit and financial analysis. 2014. No. 4. Pp. 230–233. EDN: TJSKEJ. (In Russian)
- Barykin S.E., Wu J. Designing a logistics network in international trade. Globus: Economy and Law. 2021. Vol. 7. No. 1 (41). Pp. 33–37. EDN: COPJTT
- Shulzhenko T.G. Evolution of the global logistics concept in the context of contemporary internationalization of the world economy. Logistics Systems in the Global Economy. 2016.
No. 6. Pp. 391–395. EDN: VUWPZB. (In Russian) - Shumaev V.A., Meshalkin V.P., Borodin V.A., Belozersky A.Yu. Economic and mathematical methods for optimizing material flows in supply chains. Scientific Notes of the Russian Academy of Entrepreneurship. 2011. No. 27. Pp. 25–29. EDN: OKMKAX. (In Russian)
- Sheffi Y. The Resilient enterprise: overcoming vulnerability for competitive advantage. MIT Press, 2007.
- Christopher M. Logistics and supply chain management: strategies for reducing cost and improving service. Pearson Education Limited, 2011.
- Bowersox D.J., Closs D.J., Cooper M.B. Supply Chain logistics management. McGrawHill, 2011.
- Haimes Y.Y. Risk modeling, assessment, and management. 3rd ed. Hoboken: Wiley, 2009. 1040 p. ISBN: 978-0-470-42248-9
- Efanov D.V., Sapozhnikov V.V., Sapozhnikov Vl.V. Boolean-complement based fault-tolerant electronic device architectures. Automation and Remote Control. 2021. Vol. 82. No. 8. Pp. 1403–1417. DOI: 10.1134/S0005117921080075
- Efanov D.V., Yelina Y.I. Design of self-checking digital devices with boolean signals correction using weight-based bose–lin codes. Control Sciences. 2024. No. 4. Pp. 22–36. DOI: 10.25728/cs.2024.4.3
- Efanov D.V., Pivovarov D.V. Design of Self-checking discrete devices based on polynomial codes with computation control via several diagnostic attributes. Automation and Remote Control. 2025. Vol. 86. No. 5. Pp. 402–416. DOI: 10.31857/S0005117925050038
- Stephenson S.R., Smith L.C., Agnew J.A. Divergent long-term trajectories of human access to the Arctic. Nature Climate Change. 2011. Vol. 1. Pp. 156–160. DOI: 10.1038/nclimate1120
- Rodrigue J.-P., Notteboom T. The geography of transport systems. London: Routledge, 2006.
- Chen J., Kang S., Wu A., Chen L. Projected emissions and climate impacts of Arctic shipping along the northern sea route. Environmental Pollution. 2024. No. 341. ID 122848. DOI: 10.1016/j.envpol.2023.122848
- Zhang D., Li X., Huang Y. et al. A robust optimization model for green regional logistics network design with uncertainty in future logistics demand. Advances in Mechanical Engineering. Vol. 7. No. 12. DOI: 10.1177/1687814015620518
- Zhang Y., Ren S., Liu Y., Si S. A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products. Journal of Cleaner Production. 2016. Vol. 142. Pp. 626–641. DOI: 10.1016/j.jclepro.2016.07.123
- Tao F., Qi Q., Wang L., Nee A.Y.C. Digital twins and cyber–physical systems toward smart manufacturing and industry 4.0: correlation and comparison. Engineering. 2019. Vol. 5. Pp. 653–661. DOI: 10.1016/j.eng.2019.01.014
- Barykin S.E., Sergeev S.M., Provotorov V.V. et al. Sustainability analysis of energy resources transport based on a digital n-d logistics network. Engineered science. 2024. Vol. 29. ID 1093. DOI: 10.30919/es1093
- Barykin S.E., Chursin A.A., Barykin A.S. et al. Energy efficient digital omnichannel marketing: managerial and technological dimensions. Frontiers in Energy Research. 2022. No. 10.
ID: 946588. DOI: 10.3389/fenrg.2022.946588 - North D.C. Institutions, institutional change and economic performance. Cambridge: Cambridge University Press, 1990.
- Gao X., Ge W., Yu Q., Zhao X. Optimizing northern sea route transportation times: a study from Chinese shipper’s perspective. OMAE Conference Proceedings. 2024. Vol. 6. DOI: 10.1115/OMAE2024-127804
- Goldin V.I. Northern sea route: past, present, and future. results of the international scientific megaproject. Arctic and North. 2024. No. 57. Pp. 244–253. DOI: 10.37482/issn2221-2698.2024.57.244
- Yelina Y.I., Efanov D.V. Weight-based bose–lin codes in concurrent error-detection circuit based on boolean signal correction. Journal of Computer and Systems Sciences International. 2025. Vol. 64. No. 1. Pp. 17–35. DOI: 10.1134/S1064230725700029
Information about the authors
Sergey E. Barykin, Doctor of Economic Sciences, Professor, Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University;
195251, Russia, St. Petersburg, 50 Novorosiyskaya street;
sbe@list.ru, ORCID: https://orcid.org/0000-0002-9048-009X, SPIN-code: 9382-2074
Oksana V. Kompaniitseva, Candidate of Economic Sciences, Associate Professor of the Department Mozhaisky Military Space Academy;
197198, Russia, St. Petersburg, 13 Zhdanovskaya street;
oks1@yandex.ru, ORCID: https://orcid.org/0009-0000-0068-0411, SPIN-code: 3019-1038