IDENTIFICATION, ASSESSMENT AND MINIMIZATION OF RISKS AT ALL STAGES OF THE LOGISTICS PROCESS
Abstract
The article examines risk management in logistics processes under uncertainty, volatility and digital transformation of business activity. The relevance of the study is determined by the growing complexity of supply chains, disruptions in procurement and delivery, market volatility, infrastructure constraints, technological failures, cyber threats and the need to ensure continuity. The aim is to generalize approaches to identifying, assessing and minimizing logistics risks and to substantiate an integrated risk-oriented management model. The methodological basis includes system analysis, process approach, expert assessment, forecasting, resilience assessment and digital monitoring. The main sources of risks at the stages of procurement, transportation, warehousing, inventory management, production support and distribution are identified. It is shown that logistics risks arise not only from external shocks, but also from weak coordination of participants, low data quality, fragmented information systems, weak control and delayed managerial response. The role of digital technologies, analytical tools and information systems in increasing transparency, accelerating decision-making, strengthening monitoring and reducing uncertainty is substantiated. The originality of the study lies in combining risk diagnostics, preventive measures, resilience indicators and digital monitoring within a single management logic. It is proved that an effective logistics risk management system should include regular identification of threats, assessment of probability and impact, development of response scenarios, formation of reserves, monitoring of key indicators and evaluation of corrective actions. The practical value is that the proposed approach can be used by enterprises to improve reliability, adaptability, flexibility and competitiveness of logistics systems. It is concluded that integrated logistics risk management helps optimize resources, maintain supply chain continuity, reduce losses and strengthen market positions under dynamic environmental changes.
References
Вітлінський В. В., Скіцько В. І. Концептуальні засади моделювання та управління логістичним ризиком підприємства. Проблеми економіки. 2013. № 4. С. 246–253. URL: http://nbuv.gov.ua/UJRN/Pekon_2013_4_32 (дата звернення: 10.05.2026).
Лук’янова В. В. Діагностика ризику діяльності підприємства : монографія. Хмельницький : ПП В. В. Ковальський, 2007. 312 с.
Tang C. S. Perspectives in supply chain risk management. International Journal of Production Economics. 2006. Vol. 103, No. 2. P. 451–488. DOI: https://doi.org/10.1016/j.ijpe.2005.12.006.
Manuj I., Mentzer J. T. Global supply chain risk management strategies. International Journal of Physical Distribution & Logistics Management. 2008. Vol. 38, No. 3. P. 192–223. DOI: https://doi.org/10.1108/09600030810866986.
Jüttner U., Peck H., Christopher M. Supply chain risk management: outlining an agenda for future research. International Journal of Logistics Research and Applications. 2003. Vol. 6, No. 4. P. 197–210. DOI: https://doi.org/10.1080/13675560310001627016.
Ho W., Zheng T., Yildiz H., Talluri S. Supply chain risk management: A literature review. International Journal of Production Research. 2015. Vol. 53, No. 16. P. 5031–5069. DOI: https://doi.org/10.1080/00207543.2015.1030467.
Ghadge A., Dani S., Kalawsky R. Supply chain risk management: present and future scope. The International Journal of Logistics Management. 2012. Vol. 23, No. 3. P. 313–339. DOI: https://doi.org/10.1108/09574091211289200.
Christopher M., Peck H. Building the resilient supply chain. The International Journal of Logistics Management. 2004. Vol. 15, No. 2. P. 1–14. DOI: https://doi.org/10.1108/09574090410700275.
Tubis A. A., Werbińska-Wojciechowska S. Risk management maturity model for logistic processes. Sustainability. 2021. Vol. 13, No. 2. Article 659. DOI: https://doi.org/10.3390/su13020659.
Cheshmberah M., Beheshtikia S. Supply chain management maturity: An all-encompassing literature review on models, dimensions and approaches. LogForum. 2020. Vol. 16, No. 1. P. 103–116. DOI: https://doi.org/10.17270/J.LOG.2020.377.
Ferraro S., Leoni L., Cantini A., De Carlo F. Trends and recommendations for enhancing maturity models in supply chain management and logistics. Applied Sciences. 2023. Vol. 13, No. 17. Article 9724. DOI: https://doi.org/10.3390/app13179724.
Association for Supply Chain Management. SCOR Digital Standard. Version 14.0. Chicago : ASCM, 2025. URL: https://www.ascm.org/globalassets/ascm_website_assets/docs/scor/intro-and-front-matter-scor-digital-standard-2025.pdf (дата звернення: 21.05.2026).
Baghalzadeh Shishehgarkhaneh M., Moehler R. C., Fang Y., Aboutorab H., Hijazi A. A. Construction supply chain risk management. Automation in Construction. 2024. Vol. 162. Article 105396. DOI: https://doi.org/10.1016/j.autcon.2024.105396.
Ding M. J., Jie F. Mitigating the supply chain uncertainties and risks in the construction projects: Case studies of Australian construction projects. Cleaner Logistics and Supply Chain. 2025. Vol. 16. Article 100237. DOI: https://doi.org/10.1016/j.clscn.2025.100237.
Tian Y., Cui L. Supply chain resilience and digital transformation: perspectives from a supply chain network. Humanities and Social Sciences Communications. 2025. Vol. 12. Article 1738. DOI: https://doi.org/10.1057/s41599-025-06011-3.
Vitlinskyi, V. V., & Skitsko, V. I. (2013). Kontseptualni zasady modeliuvannia ta upravlinnia lohistychnym ryzykom pidpryiemstva [Conceptual principles of modeling and management of logistics risk of the enterprise]. Problemy ekonomiky, no. 4, pp. 246–253. Available at: http://nbuv.gov.ua/UJRN/Pekon_2013_4_32 (accessed May 10, 2026). [in Ukrainian]
Lukianova, V. V. (2007). Diahnostyka ryzyku diialnosti pidpryiemstva: monohrafiia [Diagnostics of risk in enterprise activity: monograph]. Khmelnytskyi: PP V. V. Kovalskyi, 312 p. [in Ukrainian]
Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, vol. 103, no. 2, pp. 451–488. DOI: https://doi.org/10.1016/j.ijpe.2005.12.006.
Manuj, I., & Mentzer, J. T. (2008). Global supply chain risk management strategies. International Journal of Physical Distribution & Logistics Management, vol. 38, no. 3, pp. 192–223. DOI: https://doi.org/10.1108/09600030810866986.
Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: outlining an agenda for future research. International Journal of Logistics Research and Applications, vol. 6, no. 4, pp. 197–210. DOI: https://doi.org/10.1080/13675560310001627016.
Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: A literature review. International Journal of Production Research, vol. 53, no. 16, pp. 5031–5069. DOI: https://doi.org/10.1080/00207543.2015.1030467.
Ghadge, A., Dani, S., & Kalawsky, R. (2012). Supply chain risk management: present and future scope. The International Journal of Logistics Management, vol. 23, no. 3, pp. 313–339. DOI: https://doi.org/10.1108/09574091211289200.
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, vol. 15, no. 2, pp. 1–14. DOI: https://doi.org/10.1108/09574090410700275.
Tubis, A. A., & Werbińska-Wojciechowska, S. (2021). Risk management maturity model for logistic processes. Sustainability, vol. 13, no. 2, article 659. DOI: https://doi.org/10.3390/su13020659.
Cheshmberah, M., & Beheshtikia, S. (2020). Supply chain management maturity: An all-encompassing literature review on models, dimensions and approaches. LogForum, vol. 16, no. 1, pp. 103–116. DOI: https://doi.org/10.17270/J.LOG.2020.377.
Ferraro, S., Leoni, L., Cantini, A., & De Carlo, F. (2023). Trends and recommendations for enhancing maturity models in supply chain management and logistics. Applied Sciences, vol. 13, no. 17, article 9724. DOI: https://doi.org/10.3390/app13179724.
Association for Supply Chain Management. (2025). SCOR Digital Standard. Version 14.0. Chicago: ASCM. Available at: https://www.ascm.org/globalassets/ascm_website_assets/docs/scor/intro-and-front-matter-scor-digital-standard-2025.pdf (accessed May 21, 2026).
Baghalzadeh Shishehgarkhaneh, M., Moehler, R. C., Fang, Y., Aboutorab, H., & Hijazi, A. A. (2024). Construction supply chain risk management. Automation in Construction, vol. 162, article 105396. DOI: https://doi.org/10.1016/j.autcon.2024.105396.
Ding, M. J., & Jie, F. (2025). Mitigating the supply chain uncertainties and risks in the construction projects: Case studies of Australian construction projects. Cleaner Logistics and Supply Chain, vol. 16, article 100237. DOI: https://doi.org/10.1016/j.clscn.2025.100237.
Tian, Y., & Cui, L. (2025). Supply chain resilience and digital transformation: perspectives from a supply chain network. Humanities and Social Sciences Communications, vol. 12, article 1738. DOI: https://doi.org/10.1057/s41599-025-06011-3.
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