A Novel Logistics Supplier Selection Model Based on BP

Abstract:

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.

• Periodical: Key Engineering Materials (Volumes 460-461)
• Pages: 735-740
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.460-461.735
• Online since: January 2011
• Authors: Ji Qiu Li
• Keywords: BP Algorithm, Logistics Supplier Selection, Model

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