Research on Predictive Supply Chain Risk Identification Based on Weak Signal Perception
Since the outbreak of the COVID-19 pandemic in 2020,supply chain operations across variousindustries have faced severe challenges.Under the pandemic, numerous aspects of supply chains within enterprises have been negatively impacted to varying degrees,leading to a range of risk shocks.In order to ensure the stable operation of enterprise supply chains and achieve early warning of risk events,from the perspective of weak signal perception,combines signal analysis with the traditional supply chain risk iden-tification process,a supply chain risk assessment model was constructed in the paper based on weak signal perception by using the AHP-FCA research method.Finally,the model was applied to a medical equip-ment company to assess and analyze its supply chain operations.The results indicate that integrating weak signal perception into the supply chain risk identification process can,to a certain extent,enhance identifi-cation efficiency and ensure the stability of supply chain operations.
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