An integrated methodology for supplier selection and order allocation in the presence of imprecise data Online publication date: Fri, 27-Dec-2013
by Seyed Morteza Hatefi; Jafar Razmi
International Journal of Industrial and Systems Engineering (IJISE), Vol. 15, No. 1, 2013
Abstract: There has been numerous number of studies related to the supplier selection and problems which adopted a variety of approaches to solve them, however, based on our knowledge none of them has been considered the major decisions related to supplier selection and order allocation in the presence of imprecise data. In an attempt to fulfil this gap, we present an integrated framework which involves two stages including supplier evaluation and order allocation. An augmented imprecise data envelopment analysis (AIDEA) is proposed for supplier evaluation as the basic IDEA model has two main drawbacks, i.e., unrealistic input-output weights and poor discriminating power among all suppliers. Then, an integer programming with fuzzy objectives and constraints is formulated to assign optimal quantity of order to allocated suppliers. The efficiency of suppliers derived from evaluation stage is an important link which integrates these two stages. Finally, the integrated methodology is implemented in a case study organisation.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook