<![CDATA[The evaluation of the risks in humanitarian supply chain operations is crucial to prevent losses due to disasters. However, many quantitative studies in the literature are aimed at the profit-oriented supply chain, while those in the field are based on the subjective preferences of decision-makers, making risk prioritization less accurate. To fill this gap, this study presents a theoretically improved approach for this purpose by integrating statistical variance, preference selection index (PSI), and EDAS methods into humanitarian supply chain FMEA to prioritize risks. To demonstrate the applicability of the model, numerical calculations and sensitivity tests were conducted using secondary data. The test results indicate that the dimension of risk detection capability is an important dimension for proactive risk prevention. Furthermore, communication in humanitarian disaster response supply chain operations is a very important enabler for the resilience of the humanitarian supply chain. In the future, inclusion of the influence of relationships between decision criteria and between risk factors is recommended as a direction for further research from this study.]]>
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