Economics at your fingertips  

How to assess sustainability of suppliers in the presence of volume discount and negative data in data envelopment analysis?

Mohammad Izadikhah (), Reza Farzipoor Saen () and Razieh Roostaee ()
Additional contact information
Mohammad Izadikhah: Islamic Azad University
Reza Farzipoor Saen: Islamic Azad University
Razieh Roostaee: Islamic Azad University

Annals of Operations Research, 2018, vol. 269, issue 1, No 14, 267 pages

Abstract: Abstract Supplier selection is an important decision-making problem in supply chain management. Selecting appropriate suppliers based on sustainability criteria including economic, environmental, and social criteria can help companies move toward sustainable development. Data envelopment analysis (DEA) is applied to recognize the most sustainable supplier. However, conventional DEA models can be applied only to performance measurement systems characterized by positive input–output data. However, in real world, data can be negative. We propose a new DEA model for evaluating sustainability of suppliers in presence of negative data and volume discounts. Also, we present a super-efficiency model for ranking suppliers. In addition, we prove some main properties of our proposed method. Finally, we present a case study to demonstrate applicability of proposed model.

Keywords: Sustainable supply chain management; Data envelopment analysis (DEA); Supplier selection; Super-efficiency; Volume discounts; Negative data (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

DOI: 10.1007/s10479-018-2790-6

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla ().

Page updated 2020-05-09
Handle: RePEc:spr:annopr:v:269:y:2018:i:1:d:10.1007_s10479-018-2790-6