Evaluation of the performance and the efficiency of water supply organisations using data envelopment approach
by Nader A. Al Theeb; Hazem J. Smadi; Moayyad Adnan Obaidat
International Journal of Six Sigma and Competitive Advantage (IJSSCA), Vol. 11, No. 4, 2019

Abstract: The main objective of this study is to use the data envelopment approach (DEA) in combination with sensitivity analysis and key performance study to evaluate the performance and efficiency of the collection works of water companies, especially in a local water company in Jordan. Constant return to scale (CCR) model is applied to ten decision-making units (DMU), where each DMU represents a geographical area. In the results, it is found that DMU3 and DMU5 are inefficient in many quarters, whereas the other DMUs, such as DMU1 and DMU2 show an efficient score in many quarters. Additionally, sensitivity analysis is used to investigate the collection if the performance becomes efficient for some inefficient DMUs. Furthermore, when linking the relative efficiency scores with the collection ratio KPI, it is found that most of the DMUs were not able to reach 100% scores for many quarters.

Online publication date: Mon, 11-Nov-2019

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