Proceedings of the 2015 International conference on Applied Science and Engineering Innovation

Multi-attribute Decision Model of Green Supplier Selection under the Low-carbon Economy

Authors
Congjun Rao, Ningjuan Zhang
Corresponding Author
Congjun Rao
Available Online May 2015.
DOI
10.2991/asei-15.2015.63How to use a DOI?
Keywords
Green supplier; Green supplier selection; Low-carbon economy; AHP
Abstract

On the background of global warming, energy shortages and environmental pollution, people pay more attention to the low-carbon economy. In this paper, the problem of green supplier selection based on low-carbon economy is studied. Concretely, an evaluation index system for green supplier selection under the low-carbon economy is presented, and then a multi-attribute decision model of green supplier selection is established based on the method of analytic hierarchy process (AHP). This model provides decision reference for the department of supply chain management.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-94-3
ISSN
2352-5401
DOI
10.2991/asei-15.2015.63How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Congjun Rao
AU  - Ningjuan Zhang
PY  - 2015/05
DA  - 2015/05
TI  - Multi-attribute Decision Model of Green Supplier Selection under the Low-carbon Economy
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 297
EP  - 300
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.63
DO  - 10.2991/asei-15.2015.63
ID  - Rao2015/05
ER  -