Abstract
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.
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