首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于径向基函数神经网络的物流企业供应链合作伙伴选择研究
引用本文:陈红梅,赵晔.基于径向基函数神经网络的物流企业供应链合作伙伴选择研究[J].生态经济(学术版),2011(12).
作者姓名:陈红梅  赵晔
作者单位:燕山大学;
基金项目:2010年度秦皇岛市科技局课题(201001A455)
摘    要:提出了物流供应链企业合作伙伴选择问题的多目标决策模型,结合物流企业的行业特点,设计了符合物流企业供应链特点的合作伙伴选择指标体系,从伙伴关系、伙伴特性和合作柔性三个方面对物流企业供应链合作伙伴进行分析,将伙伴分类为核心伙伴、重要伙伴、潜力伙伴、基础伙伴,通过构造基于径向基函数神经网络的选择模型对合作伙伴进行归类选择。通过实证研究,结果表明该方法有效、实用。

关 键 词:物流企业  供应链  伙伴选择  径向基函数神经网络  

Research on Supply Chain Cooperation Partner Selection in Logistics Enterprises Based on the RBF Neural Networks
CHEN Hongmei,ZHAO Ye.Research on Supply Chain Cooperation Partner Selection in Logistics Enterprises Based on the RBF Neural Networks[J].Ecological Economy,2011(12).
Authors:CHEN Hongmei  ZHAO Ye
Institution:CHEN Hongmei,ZHAO Ye(Yan Shan University,Qinhuangdao Hebei 066004,China)
Abstract:A Multi-objective decision-making model is put forward to solve the issue of the supply chain cooperation partner selection in logistics enterprises.The paper excogitates a system of evaluation which is coincident with the characteristics of the logistics supply chain based on the essential feature and performance of logistics enterprises.Three aspects of logistics enterprise supply chain partners' partnership,partner characteristics and flexible cooperation are analyzed.The partners are classified as the c...
Keywords:logistics enterprise  supply chain  partner selection  RBF neutral network  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号