基于熵权灰聚类的企业智能制造创新能力评价及影响因素研究--福建五家电子类智能制造试点示范企业的实证研究  

Assessment and Analysis of Factors Influencing Enterprise’s Innovation Capabilities of Intelligent Manufacturing:An Empirical Study on Five Electronic Intelligent Manufacturing Pilot Demonstration Enterprises in Fujian Province

作　　者：方金城 曾阿锋 朱斌 FANG Jin-cheng;ZENG A-feng;ZHU Bin(Fujian University of Technology,Fuzhou 350118 China;Fuzhou University,Fuzhou 350116 China)

机构地区：[1]福建工程学院交通运输学院,福州350118 [2]福州大学经济与管理学院,福州350116

出　　处：《电子科技大学学报（社科版）》2022年第3期65-73,共9页Journal of University of Electronic Science and Technology of China(Social Sciences Edition)

基　　金：国家自然科学基金项目(71403052);福建省社科规划项目(FJ2018B040).

摘　　要：【目的/意义】科学评估企业智能制造创新能力,有助于企业厘清自身在智能制造创新活动中的潜力与不足,进而有的放矢取长补短,全面提升智能制造技术创新成效。【设计/方法】从智能制造创新投入、产品智能化研发、生产运作智能化改善、智能设备应用创新和智能制造创新产出等五个维度,设计了企业智能制造技术创新能力评价的指标体系。继而,引入一种基于熵值法的改进灰聚类评估模型,并用于对福建省五家电子类智能制造试点示范企业的智能制造创新能力进行系统评价。【结论/发现】智能制造的研发投入强度、人才队伍建设的重视度、运作管理的敏捷性等是目前制约我国企业智能制造技术创新能力提升的共性掣肘。不断加强智能制造人才队伍建设、多渠道拓宽企业智能制造创新的资金支持和持续强化企业智能制造的过程管控与快速响应能力,是当前提升我国企业智能制造技术创新能力的重要举措。[Purpose/Significance]Scientific evaluation of enterprise’s innovation capabilities of intelligent manufacturing can help enterprises to clarify their potential and shortcomings in intelligent manufacturing innovation activities,so as to overcome their weaknesses by acquiring others’strong points,and improve the effect of intelligent manufacturing technology innovation in an all-round way.[Design/Methodology]This paper designs the evaluation index system of enterprise intelligent manufacturing innovation capability from five dimensions:intelligent manufacturing innovation input,intelligent R&D of products,the improvement of intelligent production operation,the innovation of intelligent equipment application and the innovation output of intelligent manufacturing.Then,an improved grey clustering evaluation model based on the entropy value method is introduced to systematically evaluate the intelligent manufacturing innovation capabilities of five electronic intelligent manufacturing pilot demonstration enterprises in Fujian province.[Conclusions/Findings]The results of the system evaluation show that the intensity of R&D investment,the importance of talent team construction and the agility of operation and management are the common constraints the improvement of enterprise’s innovation capabilities of intelligent manufacturing in China.It is an important measure to enhance enterprise’s innovation capabilities of intelligent manufacturing in China to construct intelligent manufacturing talent team,broaden the financial support for enterprise’s intelligent manufacturing innovation through multiple channels,and continuously strengthen the process control and rapid response of enterprise intelligent manufacturing.

关 键 词：智能制造 创新能力评价 熵值法 改进灰聚类模型 影响因素分析 

分 类 号：F270.7[经济管理—企业管理]