Construction and Praxis of Six Sigma DMAIC for Bearing Manufacturing Process

Abstract

The process capability improvement of a bearing manufacturing process using the Six Sigma-DMAIC approach was performed. A progressive method was adopted by the utilization of statistical techniques such as design of experiments for optimizing process capability. We report the draconian improvement in process capability with present approach. This has led to a diminution in high resource spoilage and rework. In the Define-phase, rejection data was used to identify the critical factors responsible for rejection. Process capability indices were used to evaluate the process performance in the Measure-phase. In the Analyze-phase, the vital root causes responsible for low process capability were identified. Using the Taguchi robust design technique, the Improve-phase focuses on optimizing the critical root causes. Analysis of variance was used to examine the results of the experiment. In the control-phase, Cp and Cpk values were improved from 1.170 and 0.976 to 2.780 and 2.230.