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基于主成分分析法的制造业信息化绩效聚类分析——以沈阳为例 被引量:4

Cluster Analysis of Manufacturing Informatization Performance Based on the Principal Component Analysis: Taking Shenyang as an Example
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摘要 制造业信息化绩效是评价制造业综合运营能力、客户响应速度以及创新能力的重要指标.结合理论研究和企业调研,提出了制造企业信息化水平评价指标体系,并采用主成分分析法建立了沈阳市工业企业信息化水平的数学评价模型.最后,采用K-means算法对100家沈阳市制造企业进行了信息化水平聚类分析,认为从强调规模向强调效率、综合运营能力和综合盈利能力转变,注重软件和人才,以契合企业战略目标作为信息化实施的根本准则,是提升制造企业的核心竞争力的根本途径. Manufacturing informatization performance is an important index for evaluating the comprehensive operation ability,customer response speed and innovation ability of manufacturing industry.Combining theoretical study and enterprise investigation,an evaluation index system of informatization level was established and a mathematical evaluation model for Shenyang's industrial enterprises' informatization level,based on the principal component analysis,was set up.Lastly,using the K-means algorithm,a cluster analysis of 100 Shenyang's industrial enterprises was carried out,and it was concluded that for manufacturing,the basic approaches to enhance its core competitiveness are shifting from size to efficiency,comprehensive operation ability and comprehensive profitability,giving priority to software and talents,and taking enterprises' strategic target as the fundamental principle for informatization.
作者 杜晓君 杨雷
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2013年第7期1053-1056,共4页 Journal of Northeastern University(Natural Science)
基金 国家社会科学基金资助项目(04BJY004) 教育部人文社会科学基金资助项目(07JA790081) 辽宁省发改委基金资助项目(LF2012YTH001)
关键词 制造业 信息化 工业化 主成分分析 K-MEANS算法 manufacturing informatization industrialization principal component analysis K-means algorithm
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