Green supplier selection: a novel fuzzy double frontier data envelopment analysis model to deal with undesirable outputs and dual-role factors. (2017)

• Record Type: Journal Article
• Authors: Azadi, Majid; Mirhedayatian, Seyed Mostafa; Saen, Reza Farzipoor; Hatamzad, Mahshid; Momeni, Ehsan
• Is Part Of: International journal of industrial and systems engineering. Volume 25:Number 2(2017)
• Page Start: 160
• Page End: 181
• Publication Date: 2017
• Subjects: green SCM -- supply chain management -- GSCM -- green suppliers -- supplier selection -- data envelopment analysis -- DEA -- undesirable outputs -- dual-role factors -- fuzzy logic -- public transport -- sustainable development -- sustainable transport -- sustainability -- urban transport; Systems engineering -- Periodicals; Industrial engineering -- Periodicals; 620.001171
• Languages: English
• ISSNs: 1748-5037

Abstract

In recent years, green movements, governments and institutions have forced many companies to improve their environmental performance. As a result of this growing interest in the environment, many companies have created integrated relationships with their suppliers to present green products and services. In public transportation sector, the evaluation and selection of appropriate green suppliers according to green supply chain management (GSCM) criteria is necessary for the sustainable development of urban transportation system. Among many evaluation selection methods, data envelopment analysis (DEA) is an appropriate method for green supplier selection. In this paper, to select green suppliers, we propose a new fuzzy double frontier DEA model in the presence of undesirable outputs and dual-role factors. A case study is presented to illustrate the applicability of the proposed model.