Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials and Metallurgy Engineering

Selection of Optimal Third-party Logistics Recycler Based on Fuzzy DEA

Authors
Haiyun Zhou, Gang Du, Tong An
Corresponding Author
Haiyun Zhou
Available Online November 2012.
DOI
https://doi.org/10.2991/mmat.2013.28How to use a DOI?
Keywords
Closed loop supply chain, Third-party logistics recycler, Fuzzy DEA
Abstract
Selection of appropriate third-party logistics recycler in closed loop supply chain management strategy (CLSCMS) is a challenging issue because it requires a lot of evaluation criteria/attributes, which are characterized with complexity, elusiveness, and uncertainty in nature. This paper proposes a fuzzy confidence DEA evaluation model to assist the expert group to select the optimal third-party logistics recycler in CLSCMS. A case manufacturing firm is studied and the results indicated that the proposed evaluation model is simple, reasonable and effective to determine the optimal third-party logistics recycler. This fuzzy confidence DEA evaluation model provides a complete picture in CLSCMS contexts to both researchers and practitioners.
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Proceedings
Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials and Metallurgy Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-90-78677-62-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mmat.2013.28How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Haiyun Zhou
AU  - Gang Du
AU  - Tong An
PY  - 2012/11
DA  - 2012/11
TI  - Selection of Optimal Third-party Logistics Recycler Based on Fuzzy DEA
BT  - Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials and Metallurgy Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmat.2013.28
DO  - https://doi.org/10.2991/mmat.2013.28
ID  - Zhou2012/11
ER  -