文献类型：期刊文献

中文题名：基于AHP-BP算法的供应链合作伙伴选择建模及其应用

英文题名：Modeling of Supply Chain Vendor Selecting System Based on AHP-BP Algorithm and Its Application

作者：柳青[1];黄道[1]

机构：[1]华东理工大学自动化研究所,上海200237

年份：2007

卷号：33

期号：1

起止页码：108

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;EI(收录号：20071510544973);Scopus;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：AHP;供应链合作伙伴选择;BP神经网络;L—M算法

外文关键词：AHP（ analytic hierarchy process）; supply chain vendor selecting; BP neural network; Levenberg-Marquardt algorithm

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。
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 applied in different types of industries.