Improvement of process capability through Six Sigma and Robust Design-Case study of an Indian steel Industry
DOI:
https://doi.org/10.23055/ijietap.2011.18.9.244Keywords:
Six Sigma, DMAI²C, Taguchi Method, Orthogonal array, ANOVA, Cp, CpkAbstract
Six Sigma for process improvement is an emerging topic among many academics and researchers over the past two decades. Very few studies have been reported about the successful applications of Six Sigma in Steel industries. The purpose of this paper is to provide an analysis of Six Sigma implementation in Steel industries. This paper presents a case study illustrating the effective use of Six Sigma to reduce variations and improve the quantity of the output for the selected grade of steel taking the process capability into consideration and there is a need for the process optimization. It describes in detail how the project was selected and how the Six Sigma methodology was applied. It also shows how various tools and techniques within the Six Sigma methodology have been employed to achieve substantial benefits diffusing Innovate phase into the conventional DMAIC and modified it as DMAI²C.The results shows that many of the steel industries are not aware of Six Sigma and many do not have the resources to carry out Six Sigma projects. It was also found that implementing Six Sigma with Taguchi’s OA (Orthogonal Array) approach was not generally popular among Steel industries for improving the process capability of a process. Using this approach, it was also found a substantial improvement in the values of Cp and Cpk.
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