A Hybrid Decision Support Framework for Managing Logistics Infrastructure Relocation Under Crisis Conditions

Background: Relocating logistics infrastructure under wartime conditions requires more than identifying a theoretically suitable location, as available facilities, costs, and emerging risks must also be considered. This study examines the relocation of an enterprise from the frontline Zaporizhzhia region of Ukraine and aims to develop and substantiate a Hybrid Adaptive Model for Relocating Logistics Infrastructure (HAMRLI). Methods: The methodology combines resilience assessment, spatial modelling, digital facility screening, and expert evaluation. The Normalized Resilience Index (NRI) was calculated using EWM and TOPSIS. HAMRLI integrates the Center of Gravity (COG) method, digital verification of available warehouses, and enterprise-specific multi-criteria assessment. Results: COG identified Zhytomyr as a potential relocation area. Seven warehouse offers were identified, and two were shortlisted for expert evaluation. Weighted assessment selected Offer 6. Sensitivity analysis showed that its preference remained stable across the tested scenarios but changed with substantial shifts in criterion weights. The results support the applicability of HAMRLI for relocation decisions under high uncertainty. Conclusions: This study provides an initial empirical application rather than statistical generalization. Further testing of HAMRLI under different enterprise operating conditions is required.