Reduction in Repair rate of Welding Processes by using DMAIC

International Journal of Mechanical Engineering
© 2016 by SSRG - IJME Journal
Volume 3 Issue 1
Year of Publication : 2016
Authors : Pawan, Pradeshi Ram, Dinesh Kumar
pdf
How to Cite?

Pawan, Pradeshi Ram, Dinesh Kumar, "Reduction in Repair rate of Welding Processes by using DMAIC," SSRG International Journal of Mechanical Engineering, vol. 3,  no. 1, pp. 12-15, 2016. Crossref, https://doi.org/10.14445/23488360/IJME-V3I1P103

Abstract:

Six Sigma is being Implemented all over the world as a successful quality improvement methodology. Many companies are now days are using Six Sigma as an approach towards zero defects. This article provides a practical case study regarding the implementation of Six Sigma project in a welding facility and discusses the statistical analysis performed for bringing the welding processes in the desired sigma Limits. DMAIC was chosen as potential Six Sigma methodology with the help of findings of this methodology, First identified the critical factors affecting the process yield and then certain improvement measures were taken to improve the capability of individual welding processes and also of overall welding facility.This is an exploratory research. The research methodology incorporated qualitative & quantitative research instruments. A comparison is done between various process excellence initiatives. An integrated methodology using the tools, techniques and skills from lean principles and Six Sigma is necessary to optimize business process.

Keywords:

Six Sigma, Pareto charts, Standard deviation, Critical to Quality (CTQ), Analysis of Variance (ANOVA), DMAIC.Introduction.

References:

1. Flaig, J.J. (2006). Selecting Optimal Specification Limits. Quality Technology & Quantitative Management, 3(2), 207- 216.
2. AssrarSabry, Arab Economic and Business Journal, Volume 9, Issue 2, October 2014.
3. Chia Jou Lin, F. Frank Chen, Hung-da Wan, Yuh Min Chen, Glenn Kuriger.
4. Jonny, JessikaChristyanti, Procedia - Social and Behavioral Sciences, Volume 65, 3 December 2012.
5. MahaYusr, Abdul Rahim Othman, SanySanuriMohdMokhtar.
6. MahourMellatParastinternational Journal of Project Management, Volume 29, Issue 1, January 2011
7. XingxingZu, Lawrence D. Fredendall, Thomas J. Douglas Journal of Operations Management, Volume 26, Issue 5, September 2008
8. Sivasamya, R., Santhakumaranb, A., Subramanianc, C. (2000). Control chart for Markov-Dependent Sample Size. Quality Engineering, 12(4), 593-601. doi:10.1080/08982110008962624
9. Plecko, A., Vujica, H.N., Polajnar, A. (2009). An Application of six sigma in manufacturing company. Advances in Production Engineering and Management, 4, 243-254