Abstract: The resilience level of node enterprises in a prefabricated construction supply chain is crucial to ensuring the stable operation of the supply chain. In order to identify the key entities requiring resilience enhancement and implement resilience enhancement strategies, resilience measurement of node enterprises in a prefabricated construction supply chain is studied to guarantee the smooth operation of the supply chain. A resilience measurement indicator system is established based on an equal selection of qualitative and quantitative indicators through literature research. Indicator weights are determined through G1 method and entropy method. Based on this, a cloud model is used to establish a node resilience measurement model to realize the natural mapping and conversion between qualitative language and quantitative values. The proposed method aims to reduce the influence of subjective bias, increase the clarity of qualitative concepts, and improve the robustness and scientific reliability of the measurement results. Finally, a prefabricated construction project is used as the background for the empirical study to measure the resilience of the core enterprise in the supply chain . MATLAB is employed to visualize the resilience level of the node. Results show that the resilience of the node is at a medium level, characterized by a low predictive capability, a high response capability, a low recovery capability and a medium enhancing capability, aligning with its actual performance. According to the results, the applicability and feasibility of the model is verified, providing a feasible resilience measurement method as well as a practical management reference for other node enterprises in the industry.