Big data processing framework for manufacturing

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. (C) 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 11th CIRP Conference on Industrial Product-Service Systems