Big data processing framework for manufacturing
Yinghao Ye, Meilin Wang, Shuhong Yao, Jarvis N. Jiang, Qing Huo Liu · Procedia CIRP · 2019
Data analysis of manufacturing plays a vital part in the intelligent manufacturing service of Product-Service Systems (PSS). In order to solve the problem that, manufacturing companies can’t obtain valuable information from enterprise’s big data through traditional data analysis methods, this paper put forward a data processing architecture framework and introduce the predictive algorithm (Random Forest). Finally, a real-time prediction of quality under this framework which uses the random forest algorithm is given to verify the usefulness of the architecture framework.