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A novel fuzzy data envelopment analysis model with double frontiers for supplier selection

Year: 2013

Type: article

Abstract: Selecting the best suppliers is a significant yet complex decision which requires careful consideration of various performance criteria. Hence, supplier selection is an important issue and has a strategic significance for every company. One of the techniques that can be used for selecting suppliers is data envelopment analysis (DEA). In this paper, to handle ambiguity and fuzziness in supplier selection problems, a novel fuzzy DEA approach with double frontiers for selecting suppliers is developed. Compared with the traditional DEA, the DEA approach with double frontiers can identify the best supplier appropriately and easily without the need to impose any weight restriction or the need to calculate the cross-efficiency matrix, which requires a large number of computations and may also result in inconsistent conclusions. A numerical example demonstrates the application of the proposed model.

Source: International Journal of Logistics Research and Applications

DOI: 10.1080/13675567.2013.772957

Authors: Nazanin Ahmady, Majid Azadi, Seyed Amir Hossein Sadeghi, Reza Farzipoor Saen

Institutions: Islamic Azad University of Varamin, Islamic Azad University, Tehran, Islamic Azad University, Science and Research Branch, Islamic Azad University, Shahr-e-Qods Branch, Islamic Azad University, Karaj

Language: English

Topic: Efficiency Analysis Using DEA

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W1993977871

FWCI: 5.916

Cites: 42

Cited by: 49

Related to: 10