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Information × Registration Number 0226U003025, (0124U000696) , R & D reports Title Development of an information-analytical system for managing logistics operations of innovative restoration of border regions to ensure national security popup.stage_title Дослідження ризиків логістичних операцій у прикордонних регіонах та процесі в міжрегіонального розподілу ресурсів в умовах сучасних викликів та загроз Head Marhasova Viktoriia H., Доктор економічних наук Registration Date 12-03-2026 Organization Chernihiv Polytechnic National University popup.description1 Substantiation of the theoretical and methodological foundations and formation of scientific and practical recommendations for the development and implementation of an information and analytical system of multi-level access to resource allocation, automated management of logistics operations, including automated resource allocation, on the basis of sustainability using innovative information technologies for innovative restoration of border regions in the context of ensuring national security of Ukraine. popup.description2 The study identifies risks of logistics operations in the border regions of Ukraine and develops a methodology for their assessment. Five key groups of risks systematically manifested under wartime conditions are summarized: destruction of transport infrastructure, threats to route security, shortage of transport and resources, disruption of humanitarian and medical supply chains, and the absence of digital coordination mechanisms. Particular attention is paid to the analysis of information security risks of transport and logistics centers, with their structure and information flows defined, and risk assessment methods classified into qualitative, quantitative, and hybrid approaches. A systemic hierarchical model of factors influencing the level of information security risk has been developed, along with a prioritization method based on an improved Fuzzy AHP. A comprehensive risk assessment model (“Teacher–Student”) is proposed, combining Mamdani fuzzy inference and an adaptive neuro-fuzzy inference system (ANFIS). The results have been integrated into methodological recommendations and submitted as part of a copyright registration application for a software product. The current state of interregional resource distribution has been studied, revealing asymmetries in humanitarian provision and a dependence between infrastructure investment development and territorial resilience. Factors influencing the investment attractiveness of the logistics sector under wartime conditions have been systematized, with directions for innovative recovery of border regions and sources of investment support outlined. Using the example of the Chernihiv region, specific risks and population needs are demonstrated, confirming the relevance of digital management systems as a strategic tool for risk minimization. Product Description popup.authors Маргасова В. Г. Duka Anastasiia P. Mariia S. Dorosh Сакун Олександра Сергіївна Гнедіна К. В. Oleksii I. Trunov Denys P. Kuzkov popup.nrat_date 2026-03-12 Close