Computational Intelligence application in fasteners manufacturing

The paper describes the application of Computational Intelligence (CI) methods for knowledge discovery from data collected in manufacturing execution system (MES) operating in a fasteners manufacturing company. The purpose of the research is to find factors causing decrease in the efficiency of the fasteners production process. The structure and preparation phase of analyzed data, concerning daily work data of pushing machines for cold forging are presented. Chosen methodology, i.e. classification algorithms is briefly described. Experiments of finding relationships between production speed, material and product type in the form of if-then rules were performed. The results received a positive opinion of the company management board and give promising prospects for the CI methods implementation in the factory. It is planned to use the CI methods as a continuously working part of a platform for Intelligent Manufacturing System (IMS), which has been implemented in the factory.