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基于AHP-BP算法的供应链合作伙伴选择建模及其应用
引用本文:柳青,黄道. 基于AHP-BP算法的供应链合作伙伴选择建模及其应用[J]. 华东理工大学学报(自然科学版), 2007, 33(1): 108-114
作者姓名:柳青  黄道
作者单位:华东理工大学自动化研究所,上海,200237
摘    要:将AHP法与改进的BP神经网络相结合建立了供应链合作伙伴选择模型,并使用L-M算法对神经网络权值进行训练,实现了对供应商的多标准评价;所用的评价指标体系选取全面,适用于多种类型的供应链合作伙伴选择。用实例对模型进行了验证,并取得了较好的评价效果。该模型应用简单,且减少了供应链合作伙伴选择过程中人为因素的影响,具有一定的实用价值。

关 键 词:AHP  供应链合作伙伴选择  BP神经网络  L-M算法  
文章编号:1006-3080(2007)01-0108-07
收稿时间:2006-03-07
修稿时间:2006-03-07

Modeling of Supply Chain Vendor Selecting System Based on AHP-BP Algorithm and Its Application
LIU Qing,HUANG Dao. Modeling of Supply Chain Vendor Selecting System Based on AHP-BP Algorithm and Its Application[J]. Journal of East China University of Science and Technology, 2007, 33(1): 108-114
Authors:LIU Qing  HUANG Dao
Affiliation:Institute Research of Automation;East China University of Science and Technology;Shanghai 200237;China
Abstract:Vendor selecting is the core of supply chain management.This paper proposes a structured model for vendor selecting problem.This model is based on AHP(analytic hierarchy process) and modified BP neural network.Levenberg-Marquardt algorithm is involved in training BP neural network weights.At last,the model is tested by real examples.The results show that this model is a simple way to deal with vendor selecting problem and makes the selecting result more objective.Besides,the model is flexible and can be app...
Keywords:AHP(analytic hierarchy process)  supply chain vendor selecting  BP neural network  Levenberg-Marquardt algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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