Measurement Method for Food Supply Chain Security Level from the Perspective of Resilience

Abstract

The resilience of China's food supply chain is of significant importance for ensuring national food security and maintaining social stability, and there is a close connection between supply chain resilience and safety levels, which can be considered integrated to some extent. To quantitatively measure the safety level of the food supply chain, this study explores the measurement of food supply chain safety based on an improved MABAC model. First, content mining is used to collect and analyze literature, identifying resilience risk factors and relevant evaluation indicators in the food supply chain. Second, T-spherical fuzzy sets are employed to convert expert evaluation language, and expert weights are determined through score functions to establish a weighted evaluation matrix. Finally, the entropy method is used to calculate indicator weights, combined with the MABAC method for risk ranking to derive the final results. The findings indicate that emergencies, the economy, and the market are the primary risk factors affecting the resilience of the food supply chain. The conclusion emphasizes the need to focus on controlling emergencies, guiding economic and market development directions, preparing risk prevention plans in advance, reducing the probability of unexpected events and their severity, and enhancing supply chain resilience and safety levels.