DocumentCode
3364291
Title
Supplier Selection Model Based on the Grey System Theory
Author
Huixia, Zou ; Tao, Yu
Author_Institution
Econ. & Manage. Sch., Wuhan Univ., Wuhan
fYear
2008
fDate
4-6 Nov. 2008
Firstpage
100
Lastpage
104
Abstract
There are usually three methods for supplier slecetion, they have their own characteristics and are suitable for different environmental requirements. In real economic activity, supplier selection usually take place in the environment with insufficient information, the evaluation indicators of which show both the quantitative and qualitative characteristics. Grey system theory solved the evaluation issues under the circumstances with limited data and incomplete or inadequate information. It can whiten and quantify the grey qualitative indicators, and effectively reduce the subjectivity of indicators weight measurement in the previous expert investigation or level analysis, and provide new ideas for effectivly solving supplier evaluation index weight problems and scientifically chosing suppliers. We introduce the grey system theory into this paper, and give examples to support the construction of supplier selection model (grey correlation analysis model) through seven progressive steps. The model has universal significance in supplier selection problems under the environment with insufficient information and evaluation indicators are both quantitative and qualitative.
Keywords
grey systems; supply chain management; environmental requirements; grey qualitative indicators; grey system theory; supplier selection model; supply chain management; Conference management; Costs; Economic indicators; Engineering management; Environmental economics; Environmental management; Neural networks; Research and development management; Risk management; Weight measurement; evaluation matrix; grey correlation; grey system theory; supplier selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Risk Management & Engineering Management, 2008. ICRMEM '08. International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3402-2
Type
conf
DOI
10.1109/ICRMEM.2008.13
Filename
4673208
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