Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Research on the Procurement Model of Multiple-Supplier based on Genetic Algorithm

Authors
Heng Zhang, Qiang Lin, Weijun Zhai, Kun Zhang
Corresponding Author
Heng Zhang
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.350How to use a DOI?
Keywords
Multiple-supplier, Procurement model, Relationship Management, Genetic algorithm
Abstract

According to the procurement under multiple-supplier, this paper evaluates the supplier quantitatively. Considering the factors of procurement cost and price discount, this paper establishes a procurement model based on the theories of relationship management. This model can give the optimal scheme and total cost under upper limit to procurement cost through resolving the model. It designs genetic algorithms to resolve the model. The optimization model can improve the quality and service level of materiel, establish long-term and steady relationships with suppliers.

Copyright
© 2016, 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 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.350How to use a DOI?
Copyright
© 2016, 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  - Heng Zhang
AU  - Qiang Lin
AU  - Weijun Zhai
AU  - Kun Zhang
PY  - 2016/06
DA  - 2016/06
TI  - Research on the Procurement Model of Multiple-Supplier based on Genetic Algorithm
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1723
EP  - 1728
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.350
DO  - 10.2991/mmebc-16.2016.350
ID  - Zhang2016/06
ER  -