A Novel Logistics Supplier Selection Model Based on BP

Abstract:

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Logistics supplier selection is a comprehensive appraisal influenced by many factors and the key is to choose a method of evaluation reasonably. In this paper, we use BP neural network, starting with the statistics of listed logistics supplier, to train weights of appraisement indexes in self-organization. This method overcomes the impact of the results by subjective factors that exist in the AHP and fuzzy assessment, leads evaluation results to be a relative objectivity and provides a more effective method for the selection of listed logistics supplier.

Info:

Periodical:

Key Engineering Materials (Volumes 460-461)

Edited by:

Yanwen Wu

Pages:

735-740

DOI:

10.4028/www.scientific.net/KEM.460-461.735

Citation:

J. Q. Li "A Novel Logistics Supplier Selection Model Based on BP", Key Engineering Materials, Vols. 460-461, pp. 735-740, 2011

Online since:

January 2011

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Price:

$35.00

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