Early Warning for Manufacturing Supply Chain Resilience Based on Improved Grey Prediction Model

In a dynamic, uncertain environment, increased supply chain resilience can improve business quality. Predicting changes in enterprise help enterprises adjust their operational strategy timeously and reduce the risk of demand interruption. First, comprehensive assessment framework for manufacturing was constructed from perspective chain, an improved technique order preference by similarity to ideal solution (TOPSIS) method used quantify level. Considering that index is easily affected factors, this produces large fluctuations, buffer operator metabolism idea are introduced grey prediction model. This improvement realize dynamic tracking evaluate Finally, through analysis data famous electronic China over two-and-a-half-year period, results show TOPSIS model effective improving enterprises. study provides reference resilience.