Product performance prediction modeling to predict final product performance in case of device exception

Abstract

Provided are a product performance prediction modeling method and apparatus, a product performance prediction method, a product performance prediction system, a computer device, and a storage medium. The product performance prediction modeling method includes: acquiring first sample data, the first sample data including device outlier data generated in a process of manufacturing a product by a device; acquiring a production line configuration simulation parameter of a production line relating to a location of the device, and product information of the product manufactured by the production line; selecting a simulation model to perform simulation test on the performance of the product, to obtain product performance simulation data; and inputting the device outlier data, the production line configuration simulation parameter, the product information and the product performance simulation data into a machine learning model to perform machine learning training, to obtain a product performance prediction model.