A Methodological Approach to Anti‐Crisis Management in Transport and Manufacturing Enterprises in Conditions of Military Instability

Military instability creates a range of financial, logistical, infrastructural and human resources risks for transport and manufacturing enterprises, which cannot be fully assessed using traditional crisis management approaches that focus primarily on financial indicators. The aim of the study is to develop and test an integrated methodological approach to anti‐crisis management for transport and manufacturing enterprises. The proposed approach is based on the dual‐trigger concept, which combines financial and non‐financial indicators of crisis vulnerability, the Recovery Index (RI) and the multi‐criteria selection of management scenarios using the Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The weighting coefficients of the criteria were determined on the basis of an expert survey of 15 specialists. It is established that, in conditions of military instability, the greatest influence on the resilience of transport and manufacturing enterprises is exerted by logistical accessibility, energy autonomy and staff retention. The AHP results confirmed an acceptable level of consistency in the expert assessments. According to TOPSIS results obtained in empirical case studies, adaptive stabilization was identified as the most effective anti‐crisis scenario, as it consistently provided the best balance between operational resilience, production readiness and rapid adaptation to military risks at both tested enterprises. The proposed approach provides a comprehensive diagnosis of the crisis situation facing enterprises, an assessment of their recovery potential and a well‐founded selection of anti‐crisis solutions. As demonstrated in the case of two railway repair and manufacturing enterprises, its use contributes to increased organizational resilience and business continuity in conditions of prolonged military instability; broader applicability in other transport and manufacturing subsectors still needs empirical confirmation.