Quality and productivity improvement using Six Sigma and Taguchi methods

M. Shanmugaraja, M. Nataraj and N. Gunasekaran

International Journal of Business Excellence, 2011, vol. 4, issue 5, 544-572

Abstract: This research study proposes an innovative analysis for controlling the defects in aluminium die casting business. Six Sigma DMAIC (define, measure, analyse, improve, control) methodology is used to analyse the problem. Process validation is done with Taguchi DOE and ANOVA analysis at 95% confidence showed that the metal temperature is the vital process parameter causing defects. Confirmation experiment at optimum process parameter level showed defect level reduced from 17.22% to 4.8%. Since aluminium die casting is one of the most widely used process for producing automobile components, this study provides a methodology for improving the die casting business excellence.

Keywords: product defects; aluminium casting; die casting; blow holes; productivity; product quality; Six Sigma; DMAIC; define measure analyse improve control; statistical methods; Genichi Taguchi; experimental designs; ANOVA; analysis of variance; signal-to-noise ratios; process validation; metal temperatures; vital processes; process parameters; automobile components; business excellence. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=42157 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbexc:v:4:y:2011:i:5:p:544-572

Access Statistics for this article

More articles in International Journal of Business Excellence from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().