DocumentCode :
2931171
Title :
A grey-based carbon management model for green supplier selection
Author :
Hashemi, Seyyed Hadi ; Karimi, Alireza ; Aghakhani, Nastaran ; Kalantar, Payam
Author_Institution :
Ind. Manage. Dept., Univ. of Tehran, Tehran, Iran
fYear :
2013
fDate :
15-17 Nov. 2013
Firstpage :
402
Lastpage :
405
Abstract :
Green supply chain management has received much attention from scholars and practitioners over the past decade due to the increased emphasis on environmental issues from governments, customers, employees, competitors, and communities. Although a number of studies have addressed supplier selection problems from an environmental perspective, consideration of carbon management for supplier evaluation has rarely been discussed in the literature. Therefore, this study intends to develop a grey-based carbon management model for supplier selection in a green supply chain. Since decision-making in supplier selection generally deals with uncertain and incomplete information, we made use of an improved grey relational analysis in order to evaluate and select the most appropriate supplier. A numerical example is presented to show the efficacy of the proposed approach in supplier evaluations. The proposed approach in this study is novel and can be applied to other decision-making problems. Recommendations for future studies are presented in the final section.
Keywords :
decision making; environmental factors; grey systems; supply chain management; decision making; environmental issues; green supplier selection problem; green supply chain management; grey-based carbon management model; improved grey relational analysis; incomplete information; supplier evaluation; uncertain information; Air pollution; Carbon; Carbon dioxide; Decision making; Green products; Supply chain management; Supply chains; Improved grey relational analysis (IGRA); carbon management; green supply chain management (GSCM); grey theory; supplier selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2166-9430
Print_ISBN :
978-1-4673-5247-5
Type :
conf
DOI :
10.1109/GSIS.2013.6714815
Filename :
6714815
Link To Document :
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