Application of six sigma methodology to reduce defects of a grinding process

E. V. Gijo, Johny Scaria, Jiju Antony

Research output: Contribution to journalArticlepeer-review

116 Scopus citations

Abstract

Six Sigma is a data-driven leadership approach using specific tools and methodologies that lead to fact-based decision making. This paper deals with the application of the Six Sigma methodology in reducing defects in a fine grinding process of an automotive company in India. The DMAIC (Define-Measure-Analyse- Improve-Control) approach has been followed here to solve the underlying problem of reducing process variation and improving the process yield. This paper explores how a manufacturing process can use a systematic methodology to move towards world-class quality level. The application of the Six Sigma methodology resulted in reduction of defects in the fine grinding process from 16.6 to 1.19%. The DMAIC methodology has had a significant financial impact on the profitability of the company in terms of reduction in scrap cost, man-hour saving on rework and increased output. A saving of approximately US$2.4 million per annum was reported from this project.

Original languageBritish English
Pages (from-to)1221-1234
Number of pages14
JournalQuality and Reliability Engineering International
Volume27
Issue number8
DOIs
StatePublished - Dec 2011

Keywords

  • ANOVA
  • chi-square test
  • Kappa statistic
  • process capability evaluation
  • Six Sigma
  • Taguchi methods

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