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