Title: Evaluation of green supply chain performance using network data envelopment analysis

Authors: Amir Amini; Alireza Alinezhad; Vahid Mohammadi

Addresses: Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran ' Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran ' Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Abstract: Nowadays companies are enforced to adopt special ecological practices to show a green image and differentiate themselves from their competitors due to the economic, ecological, and social effects of organisational measures. Green supply chain management is a philosophy that aims at improving environmental performance of organisations. Under the pressure of owners of capital, environmental laws and regulations, companies are forced to improve their environmental performance, including operations such as green purchases, green designs, and product recycling. Therefore, the assessment of green supply chain management is important. One of the techniques that can be applied to assess greenhouse gas supply management is data envelopment analysis. The traditional models of data envelopment analysis deal with decision-making units like the black box. The purpose of this study was to develop a multi-objective network data envelopment analysis model to evaluate greenhouse gas supply chain management with undesirable outputs.

Keywords: green supply chain management; network data envelopment analysis; multi-objective network data envelopment analysis; unfavourable outputs; grey environment.

DOI: 10.1504/IJGE.2019.104508

International Journal of Green Economics, 2019 Vol.13 No.3/4, pp.187 - 201

Received: 23 Oct 2018
Accepted: 20 Oct 2019
Published online: 16 Jan 2020 *

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