基于AHP-BP算法的供应链合作伙伴选择建模及其应用
Modeling of Supply Chain Vendor Selecting System Based on AHP-BP Algorithm and Its Application
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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。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...