Study on Supplier Selection Based on AHP and BP Neural Network

Xiao Bin, P. Bin
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引用次数: 1

Abstract

In accordance with the issue that the selection of suppliers lacks supporting theory, this paper mainly adopts Analytic Hierarchy Process to determine the best supplier, thus the management decision-making is going to be more scientific. In the meanwhile, through quantification calculation of the five indexes of suppliers selection and appraisal, which are the supplier's quality, the supplying situation, the communication and service, the transaction cost and arrear permission sum, as well as the Uniform Examination by using the BP neural network, the insufficiently objective problem of the AHP has been made up scientifically, and the decision-making is more scientific and credible.
基于AHP和BP神经网络的供应商选择研究
针对供应商选择缺乏理论支持的问题,本文主要采用层次分析法确定最佳供应商,使管理决策更加科学。同时,通过对供应商质量、供应情况、沟通与服务、交易成本和逾期许可金额这五个供应商选择与评价指标的量化计算,以及运用BP神经网络进行统一审核,科学地弥补了层次分析法客观性不足的问题,使决策更加科学可信。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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