Issue: № 6, 2026
Doi: https://doi.org/10.37634/efp.2026.6.3e
The paper substantiates and develops the architecture of the information-analytical subsystem of strategic industrial resilience management (IAS SIRMS) as a closed adaptive analytical contour integrating eight interrelated functional blocks: information, indicator, methodical, model-analytical, interpretational, managerial, monitoring-corrective, and adaptive-regulatory. The architecture ensures a sequential transition from data collection to indicator system formation, application of methodical procedures, construction of analytical models, interpretation of results, development of managerial decisions, and monitoring with subsequent correction through a feedback mechanism. Nine methodical principles of the subsystem are defined: integration of the spatial-network industrial structure into the assessment system; multi-level indicator assessment across micro, meso and macro levels; combination of indicator, model and scenario analysis; integral assessment of functional capacity using the industrial-logistics axis strength indicator (Sa); typology and classification of regional industrial zones (RIZ) and industrial-logistics axes (ILA); differentiation of managerial decisions; adaptive feedback cycle; alignment with circular transition goals; transparency of analytical procedures. A seven-stage concept for building the subsystem is proposed, grounded in six core principles: systemic coherence, spatial-functional integration, adaptability, indicativeness, multi-level character, and goal orientation. A five-level organisational-managerial configuration is substantiated with clearly defined responsibilities at national, mesoregional, regional, analytical-methodical and digital-informational levels. The proposed approaches enable the transition from fragmented information provision to a systemically organised analytical contour for evidence-based strategic industrial resilience management under circular transition and multi-crisis transformations.
Keywords : strategic industrial resilience management, information-analytical subsystem, SIRMS, regional industrial zone (RIZ), industrial-logistics axis (ILA), axis strength, circular transition, adaptive analytical contour, multi-crisis, logical design method
References:
1. Kravchenko O.A., Ilnytskyi V.V., Ulianovskyi O.I. Ensuring the effectiveness and efficiency of industrial enterprise operations. Ekonomika: realii chasu. 2013. No. 3. pp. 29–35. (in Ukrainian).
2. Liashenko V.I. Methodological approaches to assessing modernisation processes in industrially developed territories of Ukraine. Ekonomika Ukrainy. 2015. No. 10 (647). pp. 32–44. (in Ukrainian).
3. Poberezhets O. V. Theoretical, methodological and practical principles of the industrial enterprise performance management system research: monograph. Kherson, 2016. 500 p. (in Ukrainian).
4. Priorities for ensuring the resilience of industry and the agricultural sector of Ukraine's economy under full-scale war: analytical report / O.V. Sobkevych et al. Kyiv, 2023. 49 p. DOI: 10.53679/NISS-analytrep.2023.04 (in Ukrainian).
5. Andrijevskaja J., Volkova A. Industrial energy use, efficiency, and savings: methods for quantitative analysis. Energy Efficiency. 2025. Vol. 18. DOI: 10.1007/s12053-025-10367-5
6. Schmitt T., Mattsson S., Flores-García E., Hanson L. Achieving energy efficiency in industrial manufacturing. Renewable and Sustainable Energy Reviews. 2025. Vol. 216. 115619. DOI: 10.1016/j.rser.2025.115619
7. Mykytenko V.V., Amosha O.I. A methodological approach to assessing energy system resilience using a composite indicator. Ekonomichnyi visnyk Donbasu. 2023. No. 2 (72). pp. 4–13. DOI: 10.12958/1817-3772-2023-2(72)-4-13 (in Ukrainian).
8. Mykytenko V.V., Mykytenko D.O., Chuprina M.O. Scenario modelling of spatial recovery of Ukraine's macro-regional zones: socio-ecological and economic priorities of reconstruction. Demohrafiia ta sotsialna ekonomika. 2025. No. 1 (59). pp. 109–132. DOI: https://doi.org/10.15407/dse2025.01.109 (in Ukrainian).
9. Mykytenko V.V. Mesoeconomic reconfiguration of Ukraine's real sector under polycrisis: assessment methodology by regional industrial zones and industrial-logistics axes. Modern Problems of Science and Technology: Proceedings of the IV International Scientific and Practical Conference (4–6 May 2026, Tallinn, Estonia). Tallinn, 2026. pp. 79–88. DOI: 10.70286/eoss-04.05.2026.005.79-88 (in Ukrainian).
10. Mykytenko V. V. The dual nature of artificial intelligence in the structural modernisation of regional industrial zones: a theoretical and economic approach. Scientific Research: Modern Innovations and Future Perspectives: Collection of Scientific Papers of the IV International Scientific and Practical Conference (23–25 February 2026, Montreal, Canada). Montreal, 2026. Pp. 85–90. DOI: 10.70286/EOSS-23.02.2026 (in Ukrainian).