A DCBA-DEA methodology for selecting suppliers with supply risk
by Wai Peng Wong
International Journal of Productivity and Quality Management (IJPQM), Vol. 8, No. 3, 2011

Abstract: With dynamic changes in the supply chain environment, suppliers have a tendency to exhibit risk or uncertainties in their performance. As risk increases, there is an associated increase in the amount of data required to monitor and manage the performance. Based on this understanding, a novel data collection budget allocation (DCBA) methodology for measuring and analysing vendor performance with supply risk has been developed. This paper makes contributions in the theoretical, conceptual and practical developments of the methodology. The methodology can quantitatively prioritise data collection efforts and provide a measure for a more accurate efficiency score. This DCBA methodology provides a tool for measuring efficiency in the real environment, which is stochastic in nature.

Online publication date: Wed, 14-Sep-2011

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 Productivity and Quality Management (IJPQM):
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