AIDEA: a methodology for supplier evaluation and selection in a supplier-based manufacturing environment
by Teresa Wu, Dan Shunk, Jennifer Blackhurst, Rajendra Appalla
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 11, No. 2, 2007

Abstract: Supplier evaluation and selection, an important element in supplier-based manufacturing and supply chain management has been gaining attention in both academic literature and industrial practice. In this paper, we presented a modified data envelopment analysis (DEA) method for supplier selection which can operate under conditions of imprecise information. A brief description of the importance of supplier evaluation and selection is given, followed by an overview of DEA, along with several extensions of DEA applied specifically to supplier evaluation and selection. Contributions of our proposed approach include the elimination of the poor discriminatory power and inability of traditional DEA to rank the efficient suppliers. In addition, our method can be used in situations with imprecise data.

Online publication date: Wed, 11-Apr-2007

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 Manufacturing Technology and Management (IJMTM):
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