Selecting Six Sigma projects with interval data envelopment analysis
by Alireza Alinezhad; Nushin Samadi Bahrami; Abolfazl Kazemi; Keyvan Sarrafha
International Journal of Quality and Innovation (IJQI), Vol. 2, No. 2, 2013

Abstract: Six Sigma is a well-structured methodology for improving the quality of processes and products. The efforts to implement a Six Sigma process improvement initiative cannot alone guarantee success of it. It is essential to prioritise projects which provide maximum financial benefits to the organisation. Generating and prioritising the critical Six Sigma projects, however, are real challenges in practice because any project is not finished yet. For solving this problem we use interval data. This paper aims to develop an interval data envelopment analysis (DEA) to prioritise Six Sigma projects. We use a dummy project for full ranking of Six Sigma projects.

Online publication date: Sat, 19-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Quality and Innovation (IJQI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com