Prioritizing Risk Mitigation Strategies in Air Cargo Freight Operations: A Fuzzy TOPSIS Approach

Abstract

This study explores the prioritization of risk mitigation strategies in air cargo operations using a Fuzzy TOPSIS methodology. Air cargo operations face multifaceted risks, including operational inefficiencies, cybersecurity threats, regulatory compliance challenges, and environmental concerns. To address these, a structured decision-making framework was developed, integrating expert evaluations with fuzzy logic to rank mitigation strategies across ten criteria, such as cost-effectiveness, operational efficiency, and scalability. Enhanced Data Security Measures emerged as the top-ranked strategy, reflecting the critical importance of cybersecurity in modern logistics. Other highly prioritized strategies, including Resilience Building for Disruptions and Safety Enhancement Protocols, underscore the need for operational stability and safety in a rapidly evolving industry. The study demonstrates the practical applicability of Fuzzy TOPSIS in handling uncertainty and subjectivity in risk management while providing actionable insights for practitioners. Recommendations are offered for the implementation of prioritized strategies and the integration of emerging technologies, such as real-time analytics and AI-driven decision-making models. The findings contribute to advancing the field of risk management in air cargo operations and highlight areas for future research, including dynamic risk assessment and the integration of complementary MCDM techniques.

Keywords

• Air Cargo Operations
• Risk Mitigation Strategies
• Fuzzy TOPSIS
• Multi-Criteria Decision-Making (MCDM)

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