Proceedings of the 2014 International Conference on Education, Management and Computing Technology

Study On The Evaluation Of Supply Chain Partner Selection

Authors
Yewang Zhou
Corresponding Author
Yewang Zhou
Available Online June 2014.
DOI
https://doi.org/10.2991/icemct-14.2014.86How to use a DOI?
Keywords
supply chain, partner selection, grey clustering, double-layer progrming, genetic algorithm.
Abstract
With the aggravation of global competition and progress of the science and technology, modern management thought and means are improving and developing constantly, more and more enterprise begin to use supply chain management tactics. Partner selection play a very important role in supply chain management, it determine whole competitive power of supply chain directly, so, selecting a suitable method of partner selection become an important component of the modern enterprise strategy. This paper has introduced two-phase method when selecting partner. the first phase classify all partners use grey clustering and select strategic partner ,on the basis of this ,the second phase determine the optimal partner and quantity of each partner use model of double-layer programing, then use genetic algorithm solve the model, in the last the paper set a example to demonstrate validity of the method.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Education, Management and Computing Technology (ICEMCT-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
978-94-6252-016-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icemct-14.2014.86How 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  - Yewang Zhou
PY  - 2014/06
DA  - 2014/06
TI  - Study On The Evaluation Of Supply Chain Partner Selection
BT  - 2014 International Conference on Education, Management and Computing Technology (ICEMCT-14)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemct-14.2014.86
DO  - https://doi.org/10.2991/icemct-14.2014.86
ID  - Zhou2014/06
ER  -