DocumentCode
3078427
Title
The Study on Neural Network-Based Supplier Selection and Evaluation
Author
Wu, Jiaju ; Zhang, JiLan ; Zheng, Cuifang ; Xi, ChuanYu
Author_Institution
Inst. of Comput. Applic., China Acad. of Eng. Phys., Mianyang, China
Volume
1
fYear
2010
fDate
4-6 June 2010
Firstpage
31
Lastpage
34
Abstract
Supplier lies in first node of SC (supply chain). Rational supplier evaluation and selection are important to the whole SC´s agility and competition. Based on analysis of supplier management, Supplier evaluation guide line is discussed in paper. Then neural network-based supplier evaluation model is established. BP dynamic neural network is applied in constructing model and the amelioration weight reset arithmetic is imported in supplier evaluation and selection model. Finally, the steps of supplier selection and evaluation are described. According to supplier selection and evaluation arithmetic, supplier evaluation and selection center computes supplier selection and evaluation result. Enterprise can select classic supplier based on supplier selection and evaluation result.
Keywords
backpropagation; neural nets; production engineering computing; supply chains; BP dynamic neural network; amelioration weight reset arithmetic; neural network-based supplier selection; rational supplier evaluation; supplier management; supply chain; Arithmetic; Computer applications; Computer networks; Costs; Guidelines; Information analysis; Neural networks; Physics; Supply chain management; Supply chains; agile supply chain; evaluation guide line; neural network; supplier evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location
Wuxi, Jiang Su
Print_ISBN
978-1-4244-7081-5
Electronic_ISBN
978-1-4244-7082-2
Type
conf
DOI
10.1109/ICIC.2010.14
Filename
5514244
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