Iot-Enabled Supply Chain Finance Risk Management Performance Big Data Analysis Using Fuzzy Qfd

For inventory finance in Supply chain finances (SCF) is carried out based on collateral, the risk assessment to the liquidity capacity and turnover ability is necessary. The solution of risk evaluation only based on digital data is unable to predict the risk influence accurately. Traditional SCF is difficult to realize practical business market because of lack of physical things self-tracked capability intelligently. The proposed IoT-based risk management performance big data analysis is capable of predicting different risk states by tracking transaction status changes to control risk management in SCF. The proposed approach is proved success solution for SCF according to the performance index evaluation. Moreover, heuristic fuzzy QFD algorithms are provided to explore the risk management performance big data analysis. Successful case study with simulations demonstrated the performance of the proposed approach.