| With the continuous development of market economy in our country,our country listed company internal and external environment is constantly changing,enterprises are enjoying the opportunities brought by the market and facing with various risks.Manufacturing listed companies is the foundation of the national economy,plays an important role in the steady development of our country’s economy.In recent years,however,the manufacturing industry enterprise financial crises,had caused great losses.In order to be able to effectively reduce the probability of financial crisis and reduce the unnecessary loss,we needs to established financial early warning model which is suitable for manufacturing enterprises.First of all,in this paper,we analyze the manufacturing characteristics and the source of the financial risk of financial management are d,and Further study of the relationship between financial indicators and financial condition.Then,using the statistical method to scree financial indicators and the principal component extraction,screening variables will extract the Logistic regression analysis and construct Logistic financial early warning model.To enhance the financial early warning ability of the model,using FOA to optimize the Logistic financial early warning model,further build FOA-Logistic financial early warning model,and carries on the test,the test results show that the accuracy rate of FOA – Logistic soare,prove that the model to manufacturing listed company financial warning has a strong suitability.Finally,the FOA —Logistic financial early warning model is applied to G enterprise’s financial early warning,through calculating we find G company’s financial situation is good,there is no financial crisis,which suggest that FOA-Logistic financial early warning model has the feasibility of the operation. |