Prioritizing key factors for improving logistics of Sakha Republic using CFPR

Abstract

The Republic of Sakha (Yakutia) stands as Russia’s most extensive administrative region. However, the logistics system in Yakutia faces significant challenges stemming from issues of accessibility, climatic conditions, and regulatory constraints. This study employs the Consistent Fuzzy Preference Relation (CFPR) method, providing a structured framework to prioritize key factors crucial for improving logistics decision-making. The findings reveal that the most prioritized factors were “national and regional financial support” (importance weight: 0.143) and “legislative and regulative support” (importance weight: 0.117), both falling under the principle factor category of “financial and legislative support.” By delineating industrial implications through the proposed decision-making strategies, this study offers a foundational reference for addressing the logistics landscape requirements, actionable by both government bodies and stakeholders.