An Application of Six Sigma to Reduce Supplier Quality Cost
| Autor: | U. M. Bhushi, V. S. Majali, S. N. Teli, Lokpriya Gaikwad |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
0209 industrial biotechnology
Engineering business.industry Process (engineering) Mechanical Engineering Cost of poor quality media_common.quotation_subject Six Sigma Aerospace Engineering 020206 networking & telecommunications Ocean Engineering 02 engineering and technology Industrial and Manufacturing Engineering 020901 industrial engineering & automation Risk analysis (engineering) Manufacturing 0202 electrical engineering electronic engineering information engineering Systems engineering Quality (business) Design for Six Sigma business Productivity Quality costs media_common |
| Zdroj: | Journal of The Institution of Engineers (India): Series C. 97:93-107 |
| ISSN: | 2250-0553 2250-0545 |
| DOI: | 10.1007/s40032-015-0200-2 |
| Popis: | This article presents an application of Six Sigma to reduce supplier quality cost in manufacturing industry. Although there is a wider acceptance of Six Sigma in many organizations today, there is still a lack of in-depth case study of Six Sigma. For the present research the case study methodology was used. The company decided to reduce quality cost and improve selected processes using Six Sigma methodologies. Regarding the fact that there is a lack of case studies dealing with Six Sigma especially in individual manufacturing organization this article could be of great importance also for the practitioners. This paper discusses the quality and productivity improvement in a supplier enterprise through a case study. The paper deals with an application of Six Sigma define–measure–analyze–improve–control methodology in an industry which provides a framework to identify, quantify and eliminate sources of variation in an operational process in question, to optimize the operation variables, improve and sustain performance viz. process yield with well-executed control plans. Six Sigma improves the process performance (process yield) of the critical operational process, leading to better utilization of resources, decreases variations and maintains consistent quality of the process output. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink