Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES)   SUMMER 2012 , Volume 16 , Number 2 (75); Page(s) 129 To 150.
 
Paper: 

A NEW APPROACH FOR SUPPLIER SELECTION IN THE PRESENCE OF IMPRECISE DATA: DEA WITH DOUBLE FRONTIERS

 
 
Author(s):  AZIZI HOSSEIN*
 
* PARSABAD MOGHAN BRANCH, ISLAMIC AZAD UNIVERSITY, PARSABAD MOGHAN, ARDABIL, IRAN
 
Abstract: 

Supplier selection is a complex but important decision that requires careful review of various performance criteria. Traditionally, models of supplier selection have been based on cardinal data with less emphasis on ordinal data. However, with the widespread use of production methods such as the just-in-time method, recently more emphasis is placed on considering imprecise data-i.e., mixture of interval and ordinal data. This article proposes to use data envelopment analysis (DEA) with double frontiers for supplier selection, a methodology that considers not only the optimistic efficiency but also the pessimistic efficiency of each supplier. Compared with the traditional DEA, the new DEA with double frontiers can identify the best supplier accurately and easily without imposing any weight limitations. A numerical example will be examined using the DEA approach with double frontiers to illustrate its simplicity and usefulness in the supplier selection and justification.

 
Keyword(s): DATA ENVELOPMENT ANALYSIS, SUPPLIER SELECTION, IMPRECISE DATA, OPTIMISTIC AND PESSIMISTIC EFFICIENCIES
 
References: 
  • ندارد
 
  Persian Abstract Yearly Visit 69
 
Latest on Blog
Enter SID Blog