摘要
在已有供应链合作伙伴选择方法的总结和合作伙伴关系分析的基础上 ,提出了制造型企业供应链合作伙伴关系综合评价指标体系 ,所提出的指标体系具有易量化、可包含随机性指标以及能表示分层指标体系间关联的特点 .针对所设计指标体系的特点 ,设计了一种基于人工神经网络的制造型企业供应链合作伙伴的选择方法并用MATLAB进行了实现 .
Based on the survey of existing research and theoretical analyses of supply chain partnership, this paper presents a multiple attributes evaluation system of supply chain partner selection for manufacturing enterprises. The proposed multiple attributes evaluation system is characterized good quantifiability, capability of depicting random attributes and relevancy among attributes. By applying artificial neural network (ANN), the partner evaluation system is implemented by using MATLAB. Simulation experiments show the feasibility of the system and the superiority of the system over other evaluation approaches.
基金
国家自然科学基金资助项目 (70 172 0 4 1)
