Mining Technology of Big Data Trusted Sharing in Supply Chain
Wan Yan · 2023
In view of the low input and output efficiency of traditional supply chain sharing mining technology, a trusted sharing mining technology of supply chain big data based on improved data envelope analysis algorithm was proposed. The supply chain trust evaluation method based on improved DEA algorithm is adopted, and the evaluation results are stored in the form of data set. DEA algorithm is used to optimize the input and output efficiency of supply chain sharing, and genetic algorithm is combined to avoid the local optimal problem of DEA algorithm. The supply chain big data streaming method is adopted to process the data set data, and the data is provided to each subject in the shared information publishing layer with certification qualification to access and use, and the trusted sharing mining of supply chain big data is realized. The experimental results show that the technology has excellent big data sharing mining effect, can effectively adjust the supply chain input and output, and improve the overall performance of the supply chain.