Application of the Six Sigma methodologies to enterprise resource planning implementation

M.N. Vijaya Kumar and A.V. Suresh

International Journal of Business and Systems Research, 2013, vol. 7, issue 2, 180-188

Abstract: The increasing application of Six Sigma methodologies in areas not restricted only to manufacturing industries, but also in the service and process industries, has given opportunity for lot of study in this area. Application of Six Sigma in the service sector is relatively unexplored. The DMAIC cycle is one of the most frequently used techniques in establishing Six Sigma standards in any industry. Define, measure, analyse, improve and control are the five stages of this cycle which when categorically applied to the subject of study helps in reviewing the process in its entirety and determining its sigma levels under current and improved circumstances. It is almost a definitive way of improving the subject of study (product, service or process). The improvement process in any industry directly reflects in the satisfaction of the customer. Customer satisfaction is one of the most primary reasons for an industry looking at establishing Six Sigma standards. Using the above concepts of DMAIC technique and rating scale measures of customer satisfaction, in this project we have calculated the sigma levels of the ERP package with customer satisfaction being the critical-to-quality characteristic.

Keywords: enterprise resource planning; ERP implementation; six sigma; quality imporvement; DMAIC; customer satisfaction. (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=53760 (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:ijbsre:v:7:y:2013:i:2:p:180-188

Access Statistics for this article

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