... results and identifying corrective actions. Therefore, the approach proposed in this paper aims to provide a new rule-based Machine Learning (ML) framework for OEE enhancement and the selection of improvement actions. Design/methodology/approach Association Rules (ARs) are used as a rule-based ML...

... and assessing the impact of lesser-studied factors on the failure of auto parts in the warranty period from the after-sales data of an automotive manufacturer. Design/methodology/approach The interconnected method used in this study for analyzing failure patterns is formed by combining association rules (AR...

... replacement of critical ones: such relationships are identified through the Association Rule Mining (ARM), while their interaction is studied through the Social Network Analysis (SNA). Findings A case example of a process industry is presented to explain and test the proposed model and to discuss its...