Process Improvement Using Six-Sigma (DMAIC Process) in Bearing Manufacturing Industry: A Case Study

Abstract Propagation, development of technologies and increasing customer demands switch the approach existing work in industries. To overcome barricades, six-sigma DMAIC (define, measure, analyse, improvement, control) is trendy along with being advantageous. This decreases variation set up way for gradation manufacturing companies. paper contains Six-Sigma that was used to decrease process inner outer races ball bearing enhancing product quality. Define phase begins by difficulty detection through voice internal external customers. The later stage constitute measuring data parts process. followed analyze as well improvement stage, where quality tools i.e. statistical control (SPC), Control charts, MINITAB 18.0 software, fish bone diagram significant study alive were imposed identify root causes minimizing variability. minimized assignable called maintain improved till further improvement. expected methodology effective sigma level, decreasing value standard deviation also part per million (PPM) out specification limits. Values capability indices (Cp, Cpk Cpm) improved. A well-known capable playing an efficient role industry reducing variability