Data Driven Root Cause Analyses in Multistage Manufacturing Utilising Life Cycle Wide Product Information

Root cause analyses in multistage manufacturing represents inspiration for constant improvement of existing methodologies and implementation of new ones. Using quality information data from manufacturing stage and customer perception, robust model that can be utilized in line in actual manufacturing plant is created. In this paper, a new approach for managing dimensional quality and improvement of the product geometry has been presented. New methodology was checked and then applied in major automotive factory