Analytic hierarchy process used to estimate the performance of companies that implement lean manufacturing and Six Sigma
by Ibrahim Alhuraish; Christian Robeldo; Abdessamad Kobi; Lotfi Azzabi
International Journal of Six Sigma and Competitive Advantage (IJSSCA), Vol. 10, No. 3/4, 2017

Abstract: This study analyses company performance by using the Analytic Hierarchy Process (AHP) to rank the performance of participating companies. The Super Decisions software package was used to compute the rating score. The first stage of this work involved collecting empirical data via questionnaires to characterise the impact of implementing quality and operational methodologies. Next, the AHP was constructed to rank the characteristics in terms of their effectiveness in improving company performance. The research results indicate that companies implementing lean manufacturing and Six Sigma are more effective in improving their financial and operational performance. Additionally, the results reveal that implementing lean manufacturing alone is sufficient to improve innovation performance.

Online publication date: Tue, 12-Sep-2017

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 Six Sigma and Competitive Advantage (IJSSCA):
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