Reducing the cost of poor quality and improving process output by adopting a Six Sigma DMAIC tool: a case study
by Priyank Srivastava; Melfi Alrasheedi; Prabhakar Kaushik; Shubham Sharma
International Journal of Six Sigma and Competitive Advantage (IJSSCA), Vol. 13, No. 1/2/3, 2021

Abstract: This study emphasises the real time application of Six-Sigma DMAIC (define-measure-analyse-improve-control) methodology in a manufacturing organisation to reduce the COPQ (cost of poor quality) thereby improving process output. The suspected sources of variation (SSV) for housing pool, were listed by conducting a survey and brainstorming session, followed by measuring and analysing the data using gage R&R (repeatability and reproducibility), paired comparison and multi-vary analysis. Its application to the process led to a shift in sigma level from 3.09 to 4.62 reducing the COPQ by Rs.1, 86,000 for 2 months. This paper can be used as reference by the practitioners and researchers for quality improvement projects and the study could be a paradigm initiative towards high quality products and services at low cost for every manufacturing industry. This study rediscovers and strengthens the already known revolutionary impacts of Six-Sigma DMAIC on productivity improvement and its simplistic application in the manufacturing industry.

Online publication date: Tue, 11-Jan-2022

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