DocumentCode :
2165275
Title :
Logistics supplier selection by BP neural network
Author :
Shi, Cheng-dong ; Bian, Dun-xin ; Zhang, Cun-shan
Volume :
3
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
579
Lastpage :
582
Abstract :
In order to select appropriate logistics suppliers, and by using of advantages of BP neural networks with self-organizing, self-learning, anti-interference, etc. a logistics supplier selection model was constructed, and an integrated logistics suppliers´ capacity (performance) evaluation BP neural network was established, also, BP algorithm was designed. Then an example with twenty-three listed logistics suppliers´ data in 2007 was studied. The example shows that the selection model is able to identify the evaluation level and size of alternative logistics suppliers, and provides an effective approach for selection of logistics suppliers.
Keywords :
backpropagation; logistics; logistics data processing; BP neural network; capacity evaluation; logistics supplier selection; performance evaluation; Appropriate technology; Companies; Consumer electronics; Design engineering; Feedforward neural networks; Logistics; Multi-layer neural network; Neural networks; Outsourcing; Standardization; BP algorithm; BP neural network; logistics supplier; selection model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451820
Filename :
5451820
Link To Document :
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