Eventos Anais de eventos
COBEM 2017
24th ABCM International Congress of Mechanical Engineering
STATISTICAL PROCESS CONTROL APPLICATION IN AUTOMOTIVE INDUSTRY
Submission Author:
Evandro Teixeira , DF
Co-Authors:
Tatiana Dias, Mario Andrade, Alessandro Oliveira, Evandro Teixeira
Presenter: Evandro Teixeira
doi://10.26678/ABCM.COBEM2017.COB17-2905
Abstract
Statistical Process Control (SPC) is a feasible and practical solution to monitor process capability. Based on statistical control charts, managers and industrial engineering can track possible performance deviation taking corrective action, in advance. Although, it seems to be a powerful method to implement quality control, there are few examples in current literature showing how to apply SPC in automotive industry. For this reason, this paper presents another contribution to perform statistical process inference for torque process control in automotive industry. Firstly, torque monitoring data was taken from automotive OEM to carry out normality test analysis. Afterwards, control chart were generated to perform screw tightening analysis and process capability estimation. Results highlight how statistical inference can significantly improve quality control guiding mangers and industrial engineering to better decision support.
Keywords
Statistical Process Control, Process capability, automotive industry
