An integrated framework for supplier evaluation and order allocation in a non-crisp environment
by Ali Azadeh, M.H. Khakbaz, M. Jafari Songhori
International Journal of Logistics Systems and Management (IJLSM), Vol. 6, No. 1, 2010

Abstract: Supplier selection and related issues are among the most important decisions in the area of Supply Chain Management. A few of papers and studies have considered the major decisions related to supplier selection with non-crisp data. This paper comes across with a novel approach to the problem by presenting an integrated framework which involves two stages: suppliers' evaluation and order allocation. In this way, for suppliers' evaluation, a Fuzzy Data Envelopment Analysis (Fuzzy DEA) model is conducted and then a multi-objective integer programming with fuzzy objectives and fuzzy constraints is formulated to assign an optimal quantity of orders to suppliers.

Online publication date: Tue, 01-Dec-2009

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 Logistics Systems and Management (IJLSM):
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